Paper Citation Record · LEDGER

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

As of 13 August 2026, this Paper Citation Record lists 100 of 268 outbound references and 11 inbound Pith citation observations for arXiv:2411.12377.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.12377 v2

Coverage vector

measured 100 of 268 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:39:18.459913Z

measured 111 of 111 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:52:02.256519Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T21:58:58.243453Z

Reference resolution

100 of 268 outbound references displayed

verified exact6
verified fuzzy0
unresolved94
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79b81cc0-4f0a-4ffa-87a6-2f18225c9363 · outbound

This paper cites Communication-efficient learning of deep networks from decentral- ized data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Communication-efficient learning of deep networks from decentral- ized data,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.041545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a0ed0ee-1162-473e-9b6a-192103567aa7 · outbound

This paper cites A survey for federated learning evaluations: Goals and measures,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions A survey for federated learning evaluations: Goals and measures,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.047415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 582d7af5-9346-44fc-b9ae-391ae33d1f2e · outbound

This paper cites Gdpr: Reshaping the landscape of digital transformation and business strategy,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Gdpr: Reshaping the landscape of digital transformation and business strategy,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.052852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b9149ff-21fb-4137-a886-d07eb0a3c9e2 · outbound

This paper cites Complying with hipaa and hitech,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Complying with hipaa and hitech,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.058221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49c29d9b-6724-4074-bb76-7ea85963539d · outbound

This paper cites Application of federated learning techniques for arrhythmia classification using 12-lead ecg signals,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Application of federated learning techniques for arrhythmia classification using 12-lead ecg signals,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.063525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c790696-b629-4c80-a342-8520b2042e59 · outbound

This paper cites Transparency and privacy: the role of explainable ai and federated learning in financial fraud detection,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Transparency and privacy: the role of explainable ai and federated learning in financial fraud detection,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.068184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb67460-45e4-438f-a1d9-e6f9b8e12ae6 · outbound

This paper cites Fedasa: A personalized federated learning with adaptive model aggregation for heterogeneous mobile edge computing,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fedasa: A personalized federated learning with adaptive model aggregation for heterogeneous mobile edge computing,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.072537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a71a5eb-52b0-41c9-afe8-8d6787afcbbb · outbound

This paper cites Learning multiple layers of features from tiny images,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Learning multiple layers of features from tiny images,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.075783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a9f19e6-eb5f-4e35-a9cc-d379d5060ab3 · outbound

This paper cites Mnist hand- written digit database,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Mnist hand- written digit database,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.079478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ea9f682-7be5-4dff-9df2-c1e44997aec7 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.083719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6862e343-12f0-469c-96ed-14ceec9713ee · outbound

This paper cites Enhancing generalization in federated learning with heterogeneous data: A comparative literature review,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Enhancing generalization in federated learning with heterogeneous data: A comparative literature review,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.087904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b0307e2-5221-4320-8dd9-5b1cd06681fd · outbound

This paper cites Federated learning with non-iid data: A survey,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated learning with non-iid data: A survey,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.093133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb680e3-8903-455f-87bb-5e8cf31d8d1e · outbound

This paper cites A review of federated learning methods in heterogeneous scenarios,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions A review of federated learning methods in heterogeneous scenarios,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.096961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76fc1ff4-747c-411a-88a6-daf47317eeeb · outbound

This paper cites Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:39:19.753433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0eade91-ae6a-47e5-9450-1d54539b3437 · outbound

This paper cites Non-iid data and continual learning processes in federated learning: A long road ahead,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Non-iid data and continual learning processes in federated learning: A long road ahead,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.109034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70d468dc-9f36-42b6-89c3-a4598d712439 · outbound

This paper cites A state-of-the-art survey on solving non-iid data in federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions A state-of-the-art survey on solving non-iid data in federated learning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.113193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53ee4ce7-b877-4d67-87c9-4df3f26d704a · outbound

This paper cites Federated learning on non-iid data: A survey,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated learning on non-iid data: A survey,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.117500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353334d2-af8a-4dee-855b-02ad55d270f3 · outbound

This paper cites Decentralized federated averaging,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Decentralized federated averaging,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.121912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b5521d-246a-4615-9abb-39e26132afe3 · outbound

This paper cites Federated Learning: Opportunities and Challenges.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated Learning: Opportunities and Challenges

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.126395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21dd0a19-8809-4f0d-85ef-d21b87e0c43e · outbound

This paper cites Cross-Silo Federated Learning: Challenges and Opportunities.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Cross-Silo Federated Learning: Challenges and Opportunities

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.131190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 491feb2b-8e27-4f72-abcb-464dbcf33412 · outbound

This paper cites Federated learning for internet of things: A comprehensive survey,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated learning for internet of things: A comprehensive survey,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.136177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87eeb499-2f5a-4a59-8eb4-3edc3923d704 · outbound

This paper cites Client-edge-cloud hierarchical federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Client-edge-cloud hierarchical federated learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.140001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e34b377f-0954-403d-ae0a-92aef0e2940f · outbound

This paper cites A survey on federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions A survey on federated learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.145161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e4c138-e6ee-4b74-934e-5e7e217ef44e · outbound

This paper cites Federated learning review: Fundamentals, enabling technologies, and future applications,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated learning review: Fundamentals, enabling technologies, and future applications,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.151012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33f37153-2fd9-48d5-b394-eb2a0b4902a0 · outbound

This paper cites Vertical federated learning: Concepts, advances, and challenges,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Vertical federated learning: Concepts, advances, and challenges,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.155828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8492fbff-8dbb-49a9-afcf-80e97ef7c41c · outbound

This paper cites BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.159219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c33f09f8-f80a-4da6-80b6-1f0e31061799 · outbound

This paper cites Federated Learning with Non-IID Data.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated Learning with Non-IID Data

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.163339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73f810d6-4064-4fc5-8734-1292ca094105 · outbound

This paper cites A review: Data pre- processing and data augmentation techniques,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions A review: Data pre- processing and data augmentation techniques,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.167329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcd69740-6777-4f3f-8cf4-94be172825ba · outbound

This paper cites Resampling strategies for imbalanced regression: a survey and empirical analysis,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Resampling strategies for imbalanced regression: a survey and empirical analysis,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.170872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7333437b-0ea0-4dc1-be9e-d6e2c3060f92 · outbound

This paper cites Evaluating machine learning models and their diagnostic value,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Evaluating machine learning models and their diagnostic value,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.174514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72038959-0db5-4924-9f16-cfb32bdddca5 · outbound

This paper cites Internet of things intrusion detection: Centralized, on-device, or federated learning?.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Internet of things intrusion detection: Centralized, on-device, or federated learning?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.178051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 679f5ee8-8422-4ea8-93f1-5ba5818c9134 · outbound

This paper cites FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.181490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8bb5fd6-e120-4525-974b-cba3911619b7 · outbound

This paper cites Node selection toward faster convergence for federated learning on non-iid data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Node selection toward faster convergence for federated learning on non-iid data,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.185515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e1d7e7f-481e-42fb-b8bc-85da66d16ad3 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated learning on non-iid data silos: An experimental study,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.189314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4447f102-5de1-4a4c-8112-fbaaf6f93f36 · outbound

This paper cites SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.193688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5a7ec4c-7d3d-47e3-9fd3-91b0775d1eb4 · outbound

This paper cites Client selection in federated learning under imperfections in environment,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Client selection in federated learning under imperfections in environment,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.198746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d983c078-540d-4570-ae4b-4449f7c33f57 · outbound

This paper cites Evaluating the commu- nication efficiency in federated learning algorithms,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Evaluating the commu- nication efficiency in federated learning algorithms,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.203479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27723f4d-27b4-4ae6-b0ad-10ebf4bc0b01 · outbound

This paper cites On safeguarding privacy and security in the framework of federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions On safeguarding privacy and security in the framework of federated learning,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.207369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 128f9d7d-4645-4796-9daf-b355703693e2 · outbound

This paper cites Poisoning attacks in federated learning: A survey,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Poisoning attacks in federated learning: A survey,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.211717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ffa4d6-2e0f-44f3-9a83-0cad827c24d4 · outbound

This paper cites Addressing heterogeneity in federated learning with client selection via submodular optimization,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Addressing heterogeneity in federated learning with client selection via submodular optimization,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.216745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4057133d-663f-47c7-8f55-59b24aec05ff · outbound

This paper cites Wscc: A weight-similarity- based client clustering approach for non-iid federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Wscc: A weight-similarity- based client clustering approach for non-iid federated learning,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.220745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d84e7fa-76f0-4f45-a147-d2f2486b7e17 · outbound

This paper cites A contribution-based device selection scheme in federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions A contribution-based device selection scheme in federated learning,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.224547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c1db4c-1080-4e83-927d-162bc65a7ee5 · outbound

This paper cites Towards federated learning: An overview of methods and applications,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Towards federated learning: An overview of methods and applications,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.227757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff6bb2f0-88ff-41cd-9a29-c8053d267e52 · outbound

This paper cites How to do a systematic review: a best practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-syntheses,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions How to do a systematic review: a best practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-syntheses,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.231257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5670782c-6e01-4cfc-aa75-3b3f522ae8e7 · outbound

This paper cites (2004) Google scholar.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions (2004) Google scholar

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.234837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b08a6fdd-055d-4ca2-96f5-3166bded768a · outbound

This paper cites (2000) Ieee xplore.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions (2000) Ieee xplore

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.238071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a84ac94-db3e-419c-bd61-0e648667dce7 · outbound

This paper cites an unresolved cited work.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.241678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58713925-9491-4fca-ba25-3c2cf0c59060 · outbound

This paper cites (2004) Scopus.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions (2004) Scopus

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.245161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48c09253-991c-49c2-ab85-563141a9d08d · outbound

This paper cites (1997) Web of science.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions (1997) Web of science

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.248657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 178661a7-2f2d-45e2-a38b-22c8e5ce9b97 · outbound

This paper cites an unresolved cited work.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.253054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca47621a-3942-492d-97b6-30485a7aff40 · outbound

This paper cites Fedel: Federated ensemble learning for non-iid data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fedel: Federated ensemble learning for non-iid data,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.257027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a935bb1b-7e53-4069-8f6a-0c69c4d80aed · outbound

This paper cites Aedfl: efficient asynchronous decentralized federated learning with heterogeneous devices,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Aedfl: efficient asynchronous decentralized federated learning with heterogeneous devices,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.260895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63576dfd-7186-4dc7-bb61-d1754ae7c8cb · outbound

This paper cites Federated learning with a balanced heterogeneous-yoke and loose restriction,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated learning with a balanced heterogeneous-yoke and loose restriction,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.264805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c329997-fa0c-4c00-990c-d91338ed68d9 · outbound

This paper cites Towards Robust Federated Learning via Logits Calibration on Non-IID Data.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Towards Robust Federated Learning via Logits Calibration on Non-IID Data

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:39:19.671126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16d46551-b919-4a5b-896e-7ab6b72b5b10 · outbound

This paper cites On the effectiveness of partial variance reduction in federated learning with heterogeneous data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions On the effectiveness of partial variance reduction in federated learning with heterogeneous data,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.273036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 083dc585-7bba-483f-bf55-58160356377a · outbound

This paper cites Tackling data heterogeneity in federated learning with class prototypes,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Tackling data heterogeneity in federated learning with class prototypes,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.276964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07ea319f-2d8e-4488-bcb6-53077dc7a982 · outbound

This paper cites Label-efficient self-supervised federated learning for tackling data heterogeneity in medical imaging,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Label-efficient self-supervised federated learning for tackling data heterogeneity in medical imaging,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.280797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62f20e3e-3589-4ea7-9e10-1f9ed4d53dee · outbound

This paper cites Feder- ated learning with label distribution skew via logits calibration,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Feder- ated learning with label distribution skew via logits calibration,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.286506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca85175-86cc-49d9-a0b5-718c36e9e41d · outbound

This paper cites Learning critically: Selective self-distillation in federated learning on non-iid data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Learning critically: Selective self-distillation in federated learning on non-iid data,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.290283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b0fafc-fb1d-4f0f-af70-0aa870d4c125 · outbound

This paper cites Fedpd: A federated learning framework with adaptivity to non-iid data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fedpd: A federated learning framework with adaptivity to non-iid data,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.293986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e297ad24-c00d-4d3f-9db0-133229b84add · outbound

This paper cites Ferrari: A personalized federated learning framework for heterogeneous edge clients,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Ferrari: A personalized federated learning framework for heterogeneous edge clients,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.297535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e0a6ed0-d099-4a11-8a45-be1cbac1f6b6 · outbound

This paper cites Towards reliable participation in uav-enabled federated edge learning on non-iid data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Towards reliable participation in uav-enabled federated edge learning on non-iid data,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.302074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9a3883-fe53-404c-9228-239562daedf8 · outbound

This paper cites Federated learning with taskonomy for non-iid data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated learning with taskonomy for non-iid data,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.307529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 330b1190-a56c-4287-afb1-5050b8e3a6a3 · outbound

This paper cites Per- sonalized cross-silo federated learning on non-iid data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Per- sonalized cross-silo federated learning on non-iid data,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.311837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb27a837-acd4-4574-9f44-96b0fc0a2808 · outbound

This paper cites Exploiting label skews in federated learning with model concatenation,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Exploiting label skews in federated learning with model concatenation,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.315942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e850fd8-a4f9-42bb-b658-c1ee52b6f59c · outbound

This paper cites Flgan: Gan-based unbiased federated learning under non-iid settings,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Flgan: Gan-based unbiased federated learning under non-iid settings,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.319647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea896ca-4d82-41ae-99b8-c8982354be57 · outbound

This paper cites Ringsfl: An adaptive split federated learning towards taming client heterogeneity,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Ringsfl: An adaptive split federated learning towards taming client heterogeneity,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.323264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77bfb0cc-2527-4326-92f1-bb80d280c9b3 · outbound

This paper cites Byzantine-robust variance- reduced federated learning over distributed non-iid data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Byzantine-robust variance- reduced federated learning over distributed non-iid data,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.327542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84aea243-1a6d-49c8-b553-a3f2bb06db1c · outbound

This paper cites Lfighter: Defending against the label-flipping attack in federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Lfighter: Defending against the label-flipping attack in federated learning,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.332108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbfc3d22-27a8-4323-8d07-93559cca9e60 · outbound

This paper cites Cross- to-merge training with class balance strategy for learning with noisy labels,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Cross- to-merge training with class balance strategy for learning with noisy labels,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.336099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58bf414d-c32e-43ee-aeea-190c01306116 · outbound

This paper cites Blockchain-based fairness- enhanced federated learning scheme against label flipping attack,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Blockchain-based fairness- enhanced federated learning scheme against label flipping attack,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.340222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb38d7f-06cd-48ab-a619-614089c6981f · outbound

This paper cites Fedcir: Client- invariant representation learning for federated non-iid features,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fedcir: Client- invariant representation learning for federated non-iid features,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.344081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 834db2b5-9a35-4e0d-9c7b-86b32b39c595 · outbound

This paper cites One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:39:19.655791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eb67e342-d872-40c4-8473-287dc503c602 · outbound

This paper cites Fairfed: Enabling group fairness in federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fairfed: Enabling group fairness in federated learning,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.353064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07ee95ca-deec-4c5f-b80b-2e8c592b41c5 · outbound

This paper cites Fairness and accuracy in horizontal federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fairness and accuracy in horizontal federated learning,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.356955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84567b48-a197-48fb-88ea-0b618cb213f4 · outbound

This paper cites Decentralized federated learning of deep neural networks on non-iid data.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Decentralized federated learning of deep neural networks on non-iid data

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.360901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8d88a8b-e864-4614-884c-bcd758e67020 · outbound

This paper cites Robust federated learning: The case of affine distribution shifts,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Robust federated learning: The case of affine distribution shifts,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.364755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a99cb1-e527-437f-8024-da7df078a645 · outbound

This paper cites Fairtrade: Achieving pareto-optimal trade-offs between balanced accuracy and fairness in federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fairtrade: Achieving pareto-optimal trade-offs between balanced accuracy and fairness in federated learning,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.368023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b84d34-cbb7-47c6-9433-b3e7860421f1 · outbound

This paper cites Fraug: Tackling federated learning with non-iid features via representation augmenta- tion,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fraug: Tackling federated learning with non-iid features via representation augmenta- tion,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.371735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3df59505-ed38-4a45-9092-19856187bfa1 · outbound

This paper cites Clustered federated learning with adaptive local differential privacy on heterogeneous iot data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Clustered federated learning with adaptive local differential privacy on heterogeneous iot data,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.376043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a507c197-775a-4bd3-9b33-b765cea3e4eb · outbound

This paper cites Federated learning for dis- tribution skewed data using sample weights,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated learning for dis- tribution skewed data using sample weights,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.379791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65cc7a42-c45e-4d4d-a443-61df6674305e · outbound

This paper cites Federated learning on non-iid graphs via structural knowledge sharing,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated learning on non-iid graphs via structural knowledge sharing,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.383392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9afaaed7-f8d0-4d34-b752-2c1c52bd16b7 · outbound

This paper cites A Simple Data Augmentation for Feature Distribution Skewed Federated Learning.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions A Simple Data Augmentation for Feature Distribution Skewed Federated Learning

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:39:19.628677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d1e93105-80c0-4bde-8b5d-cf09a265a4e3 · outbound

This paper cites Fl-enhance: A federated learning framework for balancing non-iid data with aug- mented and shared compressed samples,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fl-enhance: A federated learning framework for balancing non-iid data with aug- mented and shared compressed samples,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.391466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd000b70-e0fd-4719-8433-271ae9521d44 · outbound

This paper cites Cross-silo federated learning for multi-tier networks with vertical and horizontal data partitioning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Cross-silo federated learning for multi-tier networks with vertical and horizontal data partitioning,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.397106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e5db74d-f07a-4d7b-9a3a-6ce77d5f315d · outbound

This paper cites Federated XGBoost on Sample-Wise Non-IID Data.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated XGBoost on Sample-Wise Non-IID Data

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:39:19.613154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation be1eb54c-7b7b-4f55-902f-c7ef179366bf · outbound

This paper cites Fedmultimodal: A benchmark for multimodal federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fedmultimodal: A benchmark for multimodal federated learning,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.405936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c79ad69-81d7-4517-9e8c-4ce159277fa5 · outbound

This paper cites Towards optimal multi-modal federated learning on non-iid data with hierarchical gradient blending,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Towards optimal multi-modal federated learning on non-iid data with hierarchical gradient blending,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.409851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85f95679-9706-4755-b6ed-f7d586edfeec · outbound

This paper cites Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:39:19.596698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 18f42c6a-3e20-4482-977e-86358b9658a2 · outbound

This paper cites Harmony: Heterogeneous multi-modal federated learn- ing through disentangled model training,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Harmony: Heterogeneous multi-modal federated learn- ing through disentangled model training,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.418553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e231f6-2453-4ad6-a62f-92e92be964b7 · outbound

This paper cites Fault diagnosis based on federated learning driven by dynamic ex- pansion for model layers of imbalanced client,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fault diagnosis based on federated learning driven by dynamic ex- pansion for model layers of imbalanced client,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.423254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5c51b0-1e80-40a9-a905-6729f8594130 · outbound

This paper cites Ada- ffl: Adaptive computing fairness federated learning,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Ada- ffl: Adaptive computing fairness federated learning,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.428133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6987bbc2-3e39-481b-a9d4-04dda63ffbed · outbound

This paper cites Experimenting with normalization layers in federated learning on non- iid scenarios,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Experimenting with normalization layers in federated learning on non- iid scenarios,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.432298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff6b00c0-4b85-4a1f-8de5-ff25797647b6 · outbound

This paper cites Fedproc: Prototypical contrastive federated learning on non-iid data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Fedproc: Prototypical contrastive federated learning on non-iid data,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.436026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f8ef272-9f52-44b9-aedd-e4122d521c08 · outbound

This paper cites Distribution-regularized federated learning on non-iid data,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Distribution-regularized federated learning on non-iid data,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.439894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 025946fb-f922-44b4-aa8b-8ac4f9319d2e · outbound

This paper cites Flis: Clustered federated learning via inference similarity for non-iid data distribution,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Flis: Clustered federated learning via inference similarity for non-iid data distribution,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.443891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 704ffbdc-b5ec-4328-8a3c-33fb85fb460a · outbound

This paper cites Blockchain- based two-stage federated learning with non-iid data in iomt system,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Blockchain- based two-stage federated learning with non-iid data in iomt system,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.448778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0051b108-409a-4a04-9e0b-a74796194a84 · outbound

This paper cites Mitigating Data Heterogeneity in Federated Learning with Data Augmentation.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Mitigating Data Heterogeneity in Federated Learning with Data Augmentation

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.452254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aa737a2-a905-4b7e-a0d8-e88f444de077 · outbound

This paper cites Privacy threat and defense for federated learning with non-iid data in aiot,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Privacy threat and defense for federated learning with non-iid data in aiot,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.455872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e07177-5d97-40e0-aa5f-3f5c87b0d74b · outbound

This paper cites Safari: Sparsity-enabled federated learning with limited and unreliable communications,.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Safari: Sparsity-enabled federated learning with limited and unreliable communications,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.459913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e0a6f746-fa38-438a-980b-7a5cdbc77ed7 · inbound

FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation cites this paper.

FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:12:10.720018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7625bcf-85a5-41f0-86d2-8cd18dd50912 · inbound

Model Fusion via Retrofitting cites this paper.

Model Fusion via Retrofitting Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.256519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce364021-0b8a-4cf9-b95c-ec525c77f02c · inbound

Privacy-Preserving Federated Averaging with Byzantine Aggregators in Asynchronous Networks cites this paper.

Privacy-Preserving Federated Averaging with Byzantine Aggregators in Asynchronous Networks Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T11:57:34.165445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27ec88a5-efc3-4959-af7d-8132f654bdaf · inbound

Task2vec Readiness: Diagnostics for Federated Learning from Pre-Training Embeddings cites this paper.

Task2vec Readiness: Diagnostics for Federated Learning from Pre-Training Embeddings Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:51:03.018242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 36e5ebd7-98e7-4df0-baec-c4e7177277b0 · inbound

When More Parameters Hurt: Foundation Model Priors Amplify Worst-Client Disparity Under Extreme Federated Heterogeneity cites this paper.

When More Parameters Hurt: Foundation Model Priors Amplify Worst-Client Disparity Under Extreme Federated Heterogeneity Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:41:17.228267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7f5d33ee-1fd9-4bc9-9a7a-cddde85d37bd · inbound

BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation cites this paper.

BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:28:21.185575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 983792d9-7157-4f4a-9186-08603eb461b0 · inbound

AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments cites this paper.

AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:17:24.956943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2b9acd5-96a3-4388-82f9-1243cf3fbb3d · inbound

Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning cites this paper.

Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:27:18.633389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eab8db7e-eb97-47f4-9859-17932070a184 · inbound

Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification cites this paper.

Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:58:58.245623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 916dc3ef-bbf1-40f8-a953-0d1cf145ddf8 · inbound

PIcsC: Partitioning-Induced Covariate Shift Correction cites this paper.

PIcsC: Partitioning-Induced Covariate Shift Correction Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T02:30:36.253345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 606089d8-7a43-491e-91c5-326c009cd949 · inbound

On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing cites this paper.

On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:05.008101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.