Paper Citation Record · LEDGER

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review

As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.02887.

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

pith.paper-citation-record.v1
2506.02887 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:19:00.185087Z

measured 41 of 41 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

41 of 41 outbound references displayed

verified exact16
verified fuzzy18
unresolved6
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30b57285-e472-4660-b217-b758981cc62e · outbound

This paper cites Recent advances on federated learning: A systematic survey,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Recent advances on federated learning: A systematic survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:08.269564Z

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Observation 30aa7956-d739-43e4-83fc-49fa218bdfd9 · outbound

This paper cites A survey on federated learning: Challenges and applications,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review A survey on federated learning: Challenges and applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:08.020501Z

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Observation 5ab15052-bc0c-4ef0-a691-da9ef567132c · outbound

This paper cites A survey on efficient federated learning methods for foundation model training,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review A survey on efficient federated learning methods for foundation model training,

Reference 3

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Observation 6e940b6f-8eea-44f6-8c30-eaf5bf76d744 · outbound

This paper cites Federated learning with decentralized data: A survey,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Federated learning with decentralized data: A survey,

Reference 4

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Observation 7223ceab-8d6f-4fa5-8a6a-fdbda2ef3a0f · outbound

This paper cites A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

Reference 5

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Observation 83c0a7fd-4807-4569-807c-4d28307249ba · outbound

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

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Communication-efficient learning of deep networks from decentralized data,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:07.554795Z

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Observation ddf88515-381c-48e1-b225-05690b8e253c · outbound

This paper cites Safari: Server- aided federated learning on incomplete and heterogeneous data,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Safari: Server- aided federated learning on incomplete and heterogeneous data,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:07.340328Z

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Observation 81e3c735-d2c5-4133-9c89-77174d074ad2 · outbound

This paper cites Fedvarp: Variance reduced partial client participation in federated learning,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Fedvarp: Variance reduced partial client participation in federated learning,

Reference 8

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Observation f2ac6389-4b50-41b5-99ff-ac7671e0e766 · outbound

This paper cites Fedamd: Efficient federated learning via heterogeneous client sampling and adaptive model updates,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Fedamd: Efficient federated learning via heterogeneous client sampling and adaptive model updates,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:06.919999Z

Source-reported events for the cited work

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Observation 8ea0f499-41df-4c08-960d-9fe4cf9cd0e4 · outbound

This paper cites Fedcm: Federated learning via contextualized client momentum,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Fedcm: Federated learning via contextualized client momentum,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:06.633346Z

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 c7e0ca0c-3893-4e51-9eed-2b8b48da579b · outbound

This paper cites Mifa: Memory- augmented federated learning on incomplete client participation,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Mifa: Memory- augmented federated learning on incomplete client participation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:06.442211Z

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 2edbcc21-b7c8-41ca-b8a1-404b3812206f · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Scaffold: Stochastic controlled averaging for federated learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:06.229309Z

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 1d90b655-bf68-4fe9-b526-71f7cbe57de8 · outbound

This paper cites Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:19:04.066288Z

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 495c7014-34c0-4a02-b766-30bd3beee40d · outbound

This paper cites On the convergence of federated averaging with cyclic client participation,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review On the convergence of federated averaging with cyclic client participation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:05.986208Z

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 ec74b064-0880-4d83-9021-aaa68524c21a · outbound

This paper cites Convolu- tional neural network training with distributed K-FAC,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Convolu- tional neural network training with distributed K-FAC,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:05.735263Z

Source-reported events for the cited work

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Observation 606c53f1-ec77-4d1c-a4b1-1665cc4278fe · outbound

This paper cites Gradma: Memory-augmented federated learning with server- side quadratic programming,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Gradma: Memory-augmented federated learning with server- side quadratic programming,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:05.500320Z

Source-reported events for the cited work

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Observation c4312d72-d3d1-4cd8-ac98-2bed411f214a · outbound

This paper cites Federated optimization in heterogeneous networks,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Federated optimization in heterogeneous networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:05.274459Z

Source-reported events for the cited work

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Observation 8aea419b-abd3-443f-9ae5-3ef1b40941c2 · outbound

This paper cites Embracing system and statistical heterogeneity for federated learning with partial model personalization,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Embracing system and statistical heterogeneity for federated learning with partial model personalization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:05.060842Z

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Observation d08470a6-df43-4fa8-981d-06a000709fee · outbound

This paper cites Fedvarp: Tackling the variance due to partial client participation in federated learning,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Fedvarp: Tackling the variance due to partial client participation in federated learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:04.788283Z

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 b408daa4-9f38-4376-b872-c3ffd93dfd4c · outbound

This paper cites Anchor Sampling for Federated Learning with Partial Client Participation.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Anchor Sampling for Federated Learning with Partial Client Participation

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:19:03.911131Z

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Observation a76d407d-701f-4200-9106-e194c9546e9c · outbound

This paper cites Understanding server-assisted federated learning in the presence of incomplete client participation,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Understanding server-assisted federated learning in the presence of incomplete client participation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:04.543312Z

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 66e6ce54-54ad-4153-a58a-5210b50a9a7a · outbound

This paper cites Semi-Variance Reduction for Fair Federated Learning.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Semi-Variance Reduction for Fair Federated Learning

Reference 22

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Observation baba2eb0-9379-4df7-88f3-2f2a10e9132c · outbound

This paper cites Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update

Reference 23

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Observation 8e79c0db-edb9-467c-be14-44949ed8e1b5 · outbound

This paper cites Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:19:03.261208Z

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 799d7b4d-81b3-473d-98b8-a98872458837 · outbound

This paper cites Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:19:03.006397Z

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Observation d0e05e6d-6446-497d-b0c6-035dc083e098 · outbound

This paper cites Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:19:02.797008Z

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Observation d61eccd5-34c1-4d7b-b3ab-3b1b22555763 · outbound

This paper cites FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:19:02.593262Z

Source-reported events for the cited work

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Observation 24c7bf1b-06bf-4ee4-8977-084b8a681637 · outbound

This paper cites Efficient Client Selection in Federated Learning.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Efficient Client Selection in Federated Learning

Reference 28

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Source-reported events for the cited work

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Observation a0147cc6-377d-4809-9798-191786f7cf63 · outbound

This paper cites DELTA: Diverse Client Sampling for Fasting Federated Learning.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review DELTA: Diverse Client Sampling for Fasting Federated Learning

Reference 29

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Source-reported events for the cited work

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Observation 205e98e2-56e6-4164-980c-923a3754e27e · outbound

This paper cites Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection

Reference 30

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

Observation 340333e5-6f1f-4074-ab05-ae315fa620e6 · outbound

This paper cites Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning

Reference 31

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Observation 722fa8a8-2e86-4067-a72d-a7dc8e348113 · outbound

This paper cites Realizations of automorphism groups of metric graphs induced by rational maps.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Realizations of automorphism groups of metric graphs induced by rational maps

Reference 33

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Observation 44c83bc5-8e70-4a34-abb1-8633b1d9c898 · outbound

This paper cites FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction

Reference 34

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This paper cites Combating Client Dropout in Federated Learning via Friend Model Substitution.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Combating Client Dropout in Federated Learning via Friend Model Substitution

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:19:01.415968Z

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Observation 62409fd7-56ea-4005-b32a-e776722f1ab7 · outbound

This paper cites A novel client sampling scheme for unbalanced data distribution under federated learning,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review A novel client sampling scheme for unbalanced data distribution under federated learning,

Reference 36

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Observation 4d6de17f-7f8a-4af0-ab85-e93bb7f38765 · outbound

This paper cites Fedrtid: An efficient shuffle federated learning via random participation and adaptive time con- straint,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Fedrtid: An efficient shuffle federated learning via random participation and adaptive time con- straint,

Reference 37

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Observation 546a4d3c-b665-4cc0-b673-2f58e42e0959 · outbound

This paper cites Federated Learning with Regularized Client Participation.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Federated Learning with Regularized Client Participation

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:19:01.171254Z

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Observation c8caad70-8a69-4115-90a9-3f744ec6f3f1 · outbound

This paper cites Adaptive client sampling in federated learning via online learning with bandit feedback,.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Adaptive client sampling in federated learning via online learning with bandit feedback,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:19:04.284615Z

Source-reported events for the cited work

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Observation 83a8b4a9-174a-4519-ab2b-781b7b3043fe · outbound

This paper cites FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning

Reference 41

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Observation 238ba5cb-a791-4e99-892f-e0c17b689c9b · outbound

This paper cites LEFL: Low Entropy Client Sampling in Federated Learning.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review LEFL: Low Entropy Client Sampling in Federated Learning

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:19:00.672818Z

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Observation 6e18b16f-248d-4ac6-8640-7f692f443e9a · outbound

This paper cites Available: https://arxiv.org/abs/2503.11151.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Available: https://arxiv.org/abs/2503.11151

Reference 2025

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:19:00.952931Z

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

Pith citing papers

No inbound Pith citation observations are available.