Paper Citation Record · LEDGER

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2501.15949.

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

pith.paper-citation-record.v1
2501.15949 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:52:42.490238Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:33:25.949173Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T21:33:33.321087Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy13
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ce62eac-7a7c-4849-bccb-ee40893fab4e · outbound

This paper cites Artificial intelligence in healthcare,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Artificial intelligence in healthcare,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:43.007389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d7e165c5-0e79-4d39-abe5-cd76b7423528 · outbound

This paper cites Bohr and K.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Bohr and K

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.991709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8b1b09d7-469c-46ae-a56c-1a34dd672ffc · outbound

This paper cites 1–88, May 2016, [Accessed 10-07-2024].

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data 1–88, May 2016, [Accessed 10-07-2024]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.977757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c308018-71d9-49c9-b747-ee3e95b99f5b · outbound

This paper cites an unresolved cited work.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:52:42.963678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation edb1b175-5249-48f1-9e6c-be59a4cf32ea · outbound

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

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Communication-efficient learning of deep networks from decentralized data,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.378631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be00b6c-e355-4962-97b8-23ee8ea7edee · outbound

This paper cites Impact of age and gender on glioblastoma onset, progression, and management,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Impact of age and gender on glioblastoma onset, progression, and management,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.939521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f6c837e7-f7c3-4c41-a8a3-065817b9795d · outbound

This paper cites Magnetic resonance imaging and histopathology of cerebral gliomas,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Magnetic resonance imaging and histopathology of cerebral gliomas,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.925099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b304c82-a8a2-440f-9341-ccd4173c121d · outbound

This paper cites Gliomas in adults,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Gliomas in adults,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.910894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6eae99e9-ce81-4f44-a941-ce7b729216c1 · outbound

This paper cites Extracellular vesicles in glioblastoma: a challenge and an opportunity,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Extracellular vesicles in glioblastoma: a challenge and an opportunity,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.896324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 14485cbf-c482-44f3-8288-f2054a9c1b17 · outbound

This paper cites Study of the performance and scalability of federated learning for medical imaging with intermittent clients,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Study of the performance and scalability of federated learning for medical imaging with intermittent clients,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.881515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2f1162f-a878-4ca3-8f78-8c903f1d4a8a · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Flower: A Friendly Federated Learning Research Framework

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.406360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37d49d22-8047-4ef7-a1ba-2b413dad0d79 · outbound

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

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.411244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37d3de15-4e99-4335-96c0-7afc19708810 · outbound

This paper cites Byzantine-robust dis- tributed learning: Towards optimal statistical rates,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Byzantine-robust dis- tributed learning: Towards optimal statistical rates,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.416240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1977e690-5162-4f50-ad4e-a43fb87aac21 · outbound

This paper cites Adaptive Federated Optimization.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Adaptive Federated Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.420307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e04a07ff-481b-4d0c-b894-616f455ce24f · outbound

This paper cites Federated optimization in heterogeneous networks,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Federated optimization in heterogeneous networks,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.424891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a341de40-c258-453e-8ac3-4baca6cc76b8 · outbound

This paper cites Model aggregation techniques in federated learning: A comprehensive survey,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Model aggregation techniques in federated learning: A comprehensive survey,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.848562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 775ff894-28cd-41e3-886d-d1b66af880ee · outbound

This paper cites Model-contrastive federated learning,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Model-contrastive federated learning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.433572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a50417a-23e4-4a9e-87d5-f96bce140712 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learn- ing,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Scaffold: Stochastic controlled averaging for federated learn- ing,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.438120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e90a0a54-8052-48ce-b053-09e4af3fa78a · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.442295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60836fdb-a967-41d0-b731-1ea284051d63 · outbound

This paper cites Effectiveness of federated learning and cnn ensemble architectures for identifying brain tumors using mri images,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Effectiveness of federated learning and cnn ensemble architectures for identifying brain tumors using mri images,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.804725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96413734-f01f-4b66-a6c0-3efd68ef3d6f · outbound

This paper cites A neuroimaging dataset of brain tumour patients,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data A neuroimaging dataset of brain tumour patients,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.789542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8ac78a46-44e3-427c-8e07-15e00fcb56fb · outbound

This paper cites Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.455109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6cf0ef8-181d-470b-af13-de72389bec5e · outbound

This paper cites One model to unite them all: Personalized federated learning of multi-contrast mri synthesis,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data One model to unite them all: Personalized federated learning of multi-contrast mri synthesis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.775258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa0c8b53-0a2a-46ad-b066-1b618ecc36b2 · outbound

This paper cites Specificity- preserving federated learning for mr image reconstruction,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Specificity- preserving federated learning for mr image reconstruction,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.463928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4cbb440-24e2-4bf4-b5c1-dd76f5d45f96 · outbound

This paper cites A systematic review on federated learning in medical image analysis,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data A systematic review on federated learning in medical image analysis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:52:42.750726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1971b68a-b9eb-4be8-ae99-f9c19fd7ffaf · outbound

This paper cites Brain tumor classification (mri),.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Brain tumor classification (mri),

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.472785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60ff8452-6ec7-437a-8d5e-45eafa339acf · outbound

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

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.477104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1791989e-cc64-4882-aac0-0f26f2584e71 · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Rethinking the inception architecture for computer vision,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.481805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c060aa-1b0f-4c11-be55-eae929e14adb · outbound

This paper cites Identity mappings in deep residual networks,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Identity mappings in deep residual networks,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.486163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb2d9bf2-120a-4042-aea7-647ba482a3b5 · outbound

This paper cites Densely connected convolutional networks,.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Densely connected convolutional networks,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:42.490238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d1d89b76-6882-498c-9c8d-03b11b72fbce · inbound

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research cites this paper.

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:33:33.322749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 245ff750-3956-4208-a63d-3db70629bb84 · inbound

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research cites this paper.

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T15:33:25.949173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.