Paper Citation Record · LEDGER

Federated Learning for Commercial Image Sources

As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2507.12903.

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

pith.paper-citation-record.v1
2507.12903 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:42:15.574265Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

verified exact3
verified fuzzy30
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b825bcf-c6c2-49b3-92ab-d3c06a54d11d · outbound

This paper cites A survey of machine learning-based solutions to protect privacy in the internet of things.

Federated Learning for Commercial Image Sources A survey of machine learning-based solutions to protect privacy in the internet of things

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.159272Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a78f3f4-773b-4de5-984a-94ae13c267ff · outbound

This paper cites Distributed optimization and sta- tistical learning via the alternating direction method of mul- tipliers.

Federated Learning for Commercial Image Sources Distributed optimization and sta- tistical learning via the alternating direction method of mul- tipliers

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.148343Z

Source-reported events for the cited work

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Observation 34b0b4eb-f17c-44c7-8209-f87aece8ae79 · outbound

This paper cites Federated learning with hierarchical clustering of local updates to im- prove training on non-iid data.

Federated Learning for Commercial Image Sources Federated learning with hierarchical clustering of local updates to im- prove training on non-iid data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.137026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 796812fa-b316-4ba3-b2d5-ea69fc15888e · outbound

This paper cites Tifl: A tier-based federated learning sys- tem.

Federated Learning for Commercial Image Sources Tifl: A tier-based federated learning sys- tem

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.126349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eca7c914-cce7-4d2c-b4aa-ced4e0b90880 · outbound

This paper cites Fedcluster: Boosting the convergence of federated learning via cluster-cycling.

Federated Learning for Commercial Image Sources Fedcluster: Boosting the convergence of federated learning via cluster-cycling

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.116429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 40d9bf56-19d3-4e47-b822-d27851c0e7ef · outbound

This paper cites Fedsvrg based communica- tion efficient scheme for federated learning in mec networks.

Federated Learning for Commercial Image Sources Fedsvrg based communica- tion efficient scheme for federated learning in mec networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.105122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7398ffae-55f3-4102-9057-aec5fb39a5fa · outbound

This paper cites Fed- max: Mitigating activation divergence for accurate and communication-efficient federated learning.

Federated Learning for Commercial Image Sources Fed- max: Mitigating activation divergence for accurate and communication-efficient federated learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.092575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dba27604-ca21-4f2b-aabe-21fb6081cc19 · outbound

This paper cites An Overview of Privacy in Machine Learning.

Federated Learning for Commercial Image Sources An Overview of Privacy in Machine Learning

Reference 8

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Observation 2799d4eb-75d2-4929-8d16-c6a12d343544 · outbound

This paper cites Optimal distributed online prediction using mini- batches.

Federated Learning for Commercial Image Sources Optimal distributed online prediction using mini- batches

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.081622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e6814b2-d546-47fe-8dac-d8f0b74e750e · outbound

This paper cites Adaptive Personalized Federated Learning.

Federated Learning for Commercial Image Sources Adaptive Personalized Federated Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.414532Z

Source-reported events for the cited work

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Observation 9cfcfbd8-2d1e-4c5d-999b-3405cbe0f3c5 · outbound

This paper cites Fed- erated vs.

Federated Learning for Commercial Image Sources Fed- erated vs

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.069810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ddf21b6a-418c-4845-af36-d652e5cab37f · outbound

This paper cites Self-balancing federated learning with global imbalanced data in mobile systems.IEEE Trans- actions on Parallel and Distributed Systems , 32(1):59–71, 2020.

Federated Learning for Commercial Image Sources Self-balancing federated learning with global imbalanced data in mobile systems.IEEE Trans- actions on Parallel and Distributed Systems , 32(1):59–71, 2020

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.058536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7b014d59-1fdb-49e4-86a6-36d9d2a3e277 · outbound

This paper cites Fedgroup: Ef- ficient federated learning via decomposed similarity-based clustering.

Federated Learning for Commercial Image Sources Fedgroup: Ef- ficient federated learning via decomposed similarity-based clustering

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.046056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5fcca9c9-1eef-42f2-9a0e-dc94b1783c01 · outbound

This paper cites An efficient framework for clustered federated learning.

Federated Learning for Commercial Image Sources An efficient framework for clustered federated learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.033352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b42283db-7ebd-459e-b2f1-3544e24b128f · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Federated Learning for Commercial Image Sources Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.436477Z

Source-reported events for the cited work

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Observation 199e2783-9b95-4a19-913c-c08d9b64d008 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Federated Learning for Commercial Image Sources Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.441089Z

Source-reported events for the cited work

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Observation 1cb240ba-a9ad-4ba6-a6c1-20846503d078 · outbound

This paper cites Patient clustering improves efficiency of federated machine learning to predict mortal- ity and hospital stay time using distributed electronic medi- cal records.

Federated Learning for Commercial Image Sources Patient clustering improves efficiency of federated machine learning to predict mortal- ity and hospital stay time using distributed electronic medi- cal records

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.021650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d56bf7d-b4c7-4b53-86c2-199b86b47a7a · outbound

This paper cites Feder- ated learning for commercial image sources.

Federated Learning for Commercial Image Sources Feder- ated learning for commercial image sources

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:16.009330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e2c4326-1155-4dd4-9f5b-c7827394369c · outbound

This paper cites Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.

Federated Learning for Commercial Image Sources Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 19

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Source-reported events for the cited work

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Observation 2b4871f0-40bd-45d4-a9d5-e43ffe947213 · outbound

This paper cites Advances and open problems in federated learn- ing.

Federated Learning for Commercial Image Sources Advances and open problems in federated learn- ing

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.997374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1414d45e-f7b5-4ce7-b074-687885bf20d7 · outbound

This paper cites Scaffold: Stochastic controlled averaging for fed- erated learning.

Federated Learning for Commercial Image Sources Scaffold: Stochastic controlled averaging for fed- erated learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.984966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9b401dd-959e-4e26-9997-d6cac71422cc · outbound

This paper cites Scaffold: Stochastic controlled averaging for on- device federated learning.

Federated Learning for Commercial Image Sources Scaffold: Stochastic controlled averaging for on- device federated learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.972330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a219d250-ce0a-425f-9bde-7214d8236dfe · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Federated Learning for Commercial Image Sources Federated Learning: Strategies for Improving Communication Efficiency

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.470067Z

Source-reported events for the cited work

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Observation 1d0000d3-ab66-427b-8201-d57f73930787 · outbound

This paper cites A review of applications in federated learning.

Federated Learning for Commercial Image Sources A review of applications in federated learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.960968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8990cc3b-89d4-47cf-9d47-451cd2b7989d · outbound

This paper cites Federated learning: Challenges, methods, and future directions.

Federated Learning for Commercial Image Sources Federated learning: Challenges, methods, and future directions

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.479567Z

Source-reported events for the cited work

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Observation 27e2bfd0-cbbb-4b24-914f-3bb9625c300a · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Federated Learning for Commercial Image Sources On the Convergence of FedAvg on Non-IID Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.483741Z

Source-reported events for the cited work

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Observation 4135300f-d0e3-47bd-88b1-ece5880471ac · outbound

This paper cites Variance Reduced Local SGD with Lower Communication Complexity.

Federated Learning for Commercial Image Sources Variance Reduced Local SGD with Lower Communication Complexity

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.488381Z

Source-reported events for the cited work

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Observation 07f5e7c3-064e-451b-af54-30d4910fbb0e · outbound

This paper cites Real-World Image Datasets for Federated Learning.

Federated Learning for Commercial Image Sources Real-World Image Datasets for Federated Learning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:42:15.702652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 790a10df-2419-4f58-b6a4-1af30c781524 · outbound

This paper cites Three Approaches for Personalization with Applications to Federated Learning.

Federated Learning for Commercial Image Sources Three Approaches for Personalization with Applications to Federated Learning

Reference 29

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Source-reported events for the cited work

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Observation 9f838354-58a9-44ea-b8ae-2ac0c74f3939 · outbound

This paper cites Communication- efficient learning of deep networks from decentralized data.

Federated Learning for Commercial Image Sources Communication- efficient learning of deep networks from decentralized data

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.501990Z

Source-reported events for the cited work

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Observation cbbc4743-5a48-4ec4-8561-adbf3ac40cd6 · outbound

This paper cites A uni- fying view on dataset shift in classification.

Federated Learning for Commercial Image Sources A uni- fying view on dataset shift in classification

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.934525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8288e026-f919-4ad0-9c16-499f44c926ba · outbound

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

Federated Learning for Commercial Image Sources Federated learning for internet of things: A comprehensive survey

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.922763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b2d8284-ecf9-4264-b5e9-dd2b7d6d9f8c · outbound

This paper cites Towards the Science of Security and Privacy in Machine Learning.

Federated Learning for Commercial Image Sources Towards the Science of Security and Privacy in Machine Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.514482Z

Source-reported events for the cited work

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Observation cf89c370-ed76-433d-a076-84fe21a23f31 · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.

Federated Learning for Commercial Image Sources Pytorch: An im- perative style, high-performance deep learning library

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.518352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812a5f57-5a25-429c-af0a-7389499c2966 · outbound

This paper cites Dataset shift in ma- chine learning.

Federated Learning for Commercial Image Sources Dataset shift in ma- chine learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.903489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56837c06-f55c-41e6-9590-b9ebcf2af487 · outbound

This paper cites Adaptive Federated Optimization.

Federated Learning for Commercial Image Sources Adaptive Federated Optimization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.525849Z

Source-reported events for the cited work

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Observation 14b0abc1-6234-4e8a-8f4d-1d62a4d52298 · outbound

This paper cites Distributed coordinate de- scent method for learning with big data.

Federated Learning for Commercial Image Sources Distributed coordinate de- scent method for learning with big data

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.891327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb96885e-1cef-4751-a9c8-54bc86717890 · outbound

This paper cites Adapting visual category models to new domains.

Federated Learning for Commercial Image Sources Adapting visual category models to new domains

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.880337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7215ba96-af51-4d08-876e-726e59976ae4 · outbound

This paper cites Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints.

Federated Learning for Commercial Image Sources Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.868144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5182aea2-3c92-46ce-8e57-37d8c94be5e5 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Federated Learning for Commercial Image Sources Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.540152Z

Source-reported events for the cited work

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Observation 66e3e72e-af6b-4edc-8c26-1bff314459a3 · outbound

This paper cites Towards personalized federated learning.IEEE Transactions on Neural Networks and Learning Systems, 2022.

Federated Learning for Commercial Image Sources Towards personalized federated learning.IEEE Transactions on Neural Networks and Learning Systems, 2022

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.855710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46edf73f-2c54-4e32-8556-b4a0c5680fb5 · outbound

This paper cites A hybrid approach to privacy-preserving federated learning.

Federated Learning for Commercial Image Sources A hybrid approach to privacy-preserving federated learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.842513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a8a63f9-03ec-485b-9e8d-64602a27a5cc · outbound

This paper cites Opti- mizing federated learning on non-iid data with reinforcement learning.

Federated Learning for Commercial Image Sources Opti- mizing federated learning on non-iid data with reinforcement learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.830671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 554c895c-91fb-47ba-bcb3-a36ced7cf4af · outbound

This paper cites Tackling the objective inconsistency prob- lem in heterogeneous federated optimization.

Federated Learning for Commercial Image Sources Tackling the objective inconsistency prob- lem in heterogeneous federated optimization

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.818173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0326eac4-3965-4d8d-b2ba-3835a237e02d · outbound

This paper cites Fed- home: Cloud-edge based personalized federated learning for in-home health monitoring.

Federated Learning for Commercial Image Sources Fed- home: Cloud-edge based personalized federated learning for in-home health monitoring

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.804560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00df16de-57b9-4158-928d-9d342e5df7f3 · outbound

This paper cites Multi-Center Federated Learning: Clients Clustering for Better Personalization.

Federated Learning for Commercial Image Sources Multi-Center Federated Learning: Clients Clustering for Better Personalization

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:42:15.639492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9fa2db66-20fe-4cc5-bc19-c9944795783b · outbound

This paper cites RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data.

Federated Learning for Commercial Image Sources RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:42:15.623230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d9fb88f1-44cc-4bc2-b10e-fb92aeeec6a8 · outbound

This paper cites Deep learning with elastic averaging sgd.

Federated Learning for Commercial Image Sources Deep learning with elastic averaging sgd

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:42:15.791853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f9deb6e-8347-4b32-86bf-a8280cc07520 · outbound

This paper cites Federated Learning with Non-IID Data.

Federated Learning for Commercial Image Sources Federated Learning with Non-IID Data

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.574265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.