Paper Citation Record · LEDGER

Distributionally Robust Federated Learning with Client Drift Minimization

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.15371.

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

pith.paper-citation-record.v1
2505.15371 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:39.895865Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

42 of 42 outbound references displayed

verified exact3
verified fuzzy19
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9dca3ecc-fa41-4eef-8358-b3b6b7ddd8f8 · outbound

This paper cites Advances and open problems in federated learning,.

Distributionally Robust Federated Learning with Client Drift Minimization Advances and open problems in federated learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:43.670422Z

Source-reported events for the cited work

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Observation c92557f8-5438-407e-b7bd-edf1c4b1f535 · outbound

This paper cites Federated machine learning: Concept and applications,.

Distributionally Robust Federated Learning with Client Drift Minimization Federated machine learning: Concept and applications,

Reference 2

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Source-reported events for the cited work

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Observation 8778d978-407d-423e-abbc-3a897d87b5a9 · outbound

This paper cites A survey on federated learning systems: Vision, hype and reality for data privacy and protection,.

Distributionally Robust Federated Learning with Client Drift Minimization A survey on federated learning systems: Vision, hype and reality for data privacy and protection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:43.383143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b40570fc-545f-4ecd-ab20-8d63ab9208b3 · outbound

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

Distributionally Robust Federated Learning with Client Drift Minimization Federated learning: Challenges, methods, and future directions,

Reference 4

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Source-reported events for the cited work

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Observation 44888e5f-72d2-45d8-beb3-725581ed454a · outbound

This paper cites Communication- efficient second-order newton-type approach for decentralized learn- ing,.

Distributionally Robust Federated Learning with Client Drift Minimization Communication- efficient second-order newton-type approach for decentralized learn- ing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:43.145000Z

Source-reported events for the cited work

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Observation f7e5266c-35bb-421c-8adc-fb67331dd110 · outbound

This paper cites Communication- efficient split learning based on analog communication and over the air aggregation,.

Distributionally Robust Federated Learning with Client Drift Minimization Communication- efficient split learning based on analog communication and over the air aggregation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:42.936912Z

Source-reported events for the cited work

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Observation 43f6108e-4316-486c-b5d0-720da2f75603 · outbound

This paper cites Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework ,.

Distributionally Robust Federated Learning with Client Drift Minimization Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework ,

Reference 7

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Source-reported events for the cited work

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Observation c6655e1f-8e18-4876-a13b-e957782d8679 · outbound

This paper cites Model-Contrastive Federated Learning ,.

Distributionally Robust Federated Learning with Client Drift Minimization Model-Contrastive Federated Learning ,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:37.098586Z

Source-reported events for the cited work

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Observation 938813ba-a202-4bcb-9870-1f993c6ee0f9 · outbound

This paper cites Federated visual classification with real-world data distribution,.

Distributionally Robust Federated Learning with Client Drift Minimization Federated visual classification with real-world data distribution,

Reference 9

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Source-reported events for the cited work

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Observation cf855c40-cba2-42e7-af20-8f5a8e320ebd · outbound

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

Distributionally Robust Federated Learning with Client Drift Minimization Federated learning with non-iid data: A survey,

Reference 10

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Source-reported events for the cited work

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Observation 8884ef5d-80de-4d6d-b421-b3b42abb6b8c · outbound

This paper cites Optimizing federated learning on non-iid data with reinforcement learning,.

Distributionally Robust Federated Learning with Client Drift Minimization Optimizing federated learning on non-iid data with reinforcement learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:42.827085Z

Source-reported events for the cited work

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Observation 92c75ec7-1850-4cf1-9117-a7e15b5cd6a1 · outbound

This paper cites Local sgd converges fast and communicates little,.

Distributionally Robust Federated Learning with Client Drift Minimization Local sgd converges fast and communicates little,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:42.644494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3f19c59-249e-4573-857d-122cb216bf62 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Distributionally Robust Federated Learning with Client Drift Minimization Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 13

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Source-reported events for the cited work

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Observation 57361816-96c1-43c7-9a43-ab0de9e9845c · outbound

This paper cites Federated optimization in heterogeneous networks,.

Distributionally Robust Federated Learning with Client Drift Minimization Federated optimization in heterogeneous networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:42.419731Z

Source-reported events for the cited work

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Observation 6939441c-635b-4847-a623-10ce051d6bc9 · outbound

This paper cites Practical federated gradient boosting decision trees,.

Distributionally Robust Federated Learning with Client Drift Minimization Practical federated gradient boosting decision trees,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:42.239408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 92e8ca20-3773-4a0a-8e89-b594a076d6e3 · outbound

This paper cites Federated learning with matched averaging,.

Distributionally Robust Federated Learning with Client Drift Minimization Federated learning with matched averaging,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:42.046811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 69d323b0-01bf-4c43-bdca-101aa2137062 · outbound

This paper cites Federated bayesian optimization via thompson sampling,.

Distributionally Robust Federated Learning with Client Drift Minimization Federated bayesian optimization via thompson sampling,

Reference 17

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Source-reported events for the cited work

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Observation 62027708-e849-41c2-8c14-60bdb84109b1 · outbound

This paper cites The oarf benchmark suite: Characterization and implications for federated learning systems,.

Distributionally Robust Federated Learning with Client Drift Minimization The oarf benchmark suite: Characterization and implications for federated learning systems,

Reference 18

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Source-reported events for the cited work

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Observation ad379339-5272-4a48-90ca-fb13f8d13da1 · outbound

This paper cites FedML: A Research Library and Benchmark for Federated Machine Learning.

Distributionally Robust Federated Learning with Client Drift Minimization FedML: A Research Library and Benchmark for Federated Machine Learning

Reference 19

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Source-reported events for the cited work

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Observation 7bf1a1e7-f827-4db3-8de8-4876bd83a5e8 · outbound

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

Distributionally Robust Federated Learning with Client Drift Minimization Federated Learning: Strategies for Improving Communication Efficiency

Reference 20

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Source-reported events for the cited work

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Observation 9e83ad4e-4c5a-450d-9a80-fb5f9d746912 · outbound

This paper cites On the convergence of fedavg on non-iid data,.

Distributionally Robust Federated Learning with Client Drift Minimization On the convergence of fedavg on non-iid data,

Reference 21

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Source-reported events for the cited work

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Observation 9783d785-78d5-474f-9b27-d1ad534d8390 · outbound

This paper cites Federated Learning Based on Dynamic Regularization.

Distributionally Robust Federated Learning with Client Drift Minimization Federated Learning Based on Dynamic Regularization

Reference 22

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Source-reported events for the cited work

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Observation 68a16aa8-a1a8-478e-afb0-e8e4513cbda1 · outbound

This paper cites SCAFFOLD: Stochastic Controlled Averaging for Federated Learning.

Distributionally Robust Federated Learning with Client Drift Minimization SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:38.683133Z

Source-reported events for the cited work

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Observation 87a653ac-ff94-47a3-9436-bf8b103089f2 · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated op- timization,.

Distributionally Robust Federated Learning with Client Drift Minimization Tackling the objective inconsistency problem in heterogeneous federated op- timization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:41.793447Z

Source-reported events for the cited work

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Observation b53084ff-4e00-4972-95ab-21ab210afee2 · outbound

This paper cites Stochastic controlled averaging for federated learning with communication compression,.

Distributionally Robust Federated Learning with Client Drift Minimization Stochastic controlled averaging for federated learning with communication compression,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:41.685809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8533f5ea-93cd-4187-83e3-91715c26389e · outbound

This paper cites Ditto: Fair and robust federated learning through personalization,.

Distributionally Robust Federated Learning with Client Drift Minimization Ditto: Fair and robust federated learning through personalization,

Reference 26

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Source-reported events for the cited work

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Observation 3ef29887-2ef3-4063-b3f3-f5f2a4549f3a · outbound

This paper cites Agnostic federated learning,.

Distributionally Robust Federated Learning with Client Drift Minimization Agnostic federated learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:41.390685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1151a2c6-0183-4d16-9678-291ac9c84c7d · outbound

This paper cites Robust fed- erated learning: the case of affine distribution shifts,.

Distributionally Robust Federated Learning with Client Drift Minimization Robust fed- erated learning: the case of affine distribution shifts,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:41.238151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0be2b26c-864c-4a7e-a9e2-233217f975cc · outbound

This paper cites Distributionally Robust Federated Averaging.

Distributionally Robust Federated Learning with Client Drift Minimization Distributionally Robust Federated Averaging

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:25:40.395447Z

Source-reported events for the cited work

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Observation bfee5b8c-157d-4299-8dd4-54d724dfab88 · outbound

This paper cites DR-DSGD: A distributionally robust decentralized learning algorithm over graphs,.

Distributionally Robust Federated Learning with Client Drift Minimization DR-DSGD: A distributionally robust decentralized learning algorithm over graphs,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:41.128173Z

Source-reported events for the cited work

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Observation c2d9e500-dd76-41d3-9307-0b3a0dcd423c · outbound

This paper cites Fair resource allocation in federated learning,.

Distributionally Robust Federated Learning with Client Drift Minimization Fair resource allocation in federated learning,

Reference 31

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Source-reported events for the cited work

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Observation 401935fc-a3d3-44cf-844e-5db5d46fed80 · outbound

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

Distributionally Robust Federated Learning with Client Drift Minimization Clustered federated learn- ing: Model-agnostic distributed multitask optimization under privacy constraints,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:40.830334Z

Source-reported events for the cited work

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Observation 02f5a2b9-49ba-4ad1-bb11-4f42dad7029f · outbound

This paper cites Communication-Efficient Local Decentralized SGD Methods.

Distributionally Robust Federated Learning with Client Drift Minimization Communication-Efficient Local Decentralized SGD Methods

Reference 33

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Source-reported events for the cited work

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Observation a2da8f81-c6f5-4461-95a3-3be3319bf36b · outbound

This paper cites Scaff-PD: Communication Efficient Fair and Robust Federated Learning.

Distributionally Robust Federated Learning with Client Drift Minimization Scaff-PD: Communication Efficient Fair and Robust Federated Learning

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:25:40.265512Z

Source-reported events for the cited work

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Observation 569a75b2-5f33-4e6c-bbbe-c738a07f653d · outbound

This paper cites The mnist database of handwritten digit images for machine learning research,.

Distributionally Robust Federated Learning with Client Drift Minimization The mnist database of handwritten digit images for machine learning research,

Reference 35

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Observation 80e6e32c-611b-41fc-95d6-1dc442a3c35d · outbound

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

Distributionally Robust Federated Learning with Client Drift Minimization Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 36

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Observation 97f5c03c-baf3-44e0-90f8-1c8ecc858da7 · outbound

This paper cites Deep learning for classical japanese literature,.

Distributionally Robust Federated Learning with Client Drift Minimization Deep learning for classical japanese literature,

Reference 37

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Source-reported events for the cited work

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Observation e2aa466f-ef1f-4d3c-b541-a58fdb7e1df4 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Distributionally Robust Federated Learning with Client Drift Minimization Deep Residual Learning for Image Recognition

Reference 38

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Source-reported events for the cited work

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Observation 1cc44389-64ec-4c4a-9e18-73043dc9c91e · outbound

This paper cites Large-scale analysis of zipf’s law in english texts,.

Distributionally Robust Federated Learning with Client Drift Minimization Large-scale analysis of zipf’s law in english texts,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:39.829100Z

Source-reported events for the cited work

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Observation 6ec8c903-d060-4771-a885-4f5c51f09dfd · outbound

This paper cites The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator,.

Distributionally Robust Federated Learning with Client Drift Minimization The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:39.895865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a6de098-8d2b-4bbb-9db4-8b7d89d054fd · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

Distributionally Robust Federated Learning with Client Drift Minimization Local SGD Converges Fast and Communicates Little

Reference 2019

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Source-reported events for the cited work

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Observation af63d243-ed20-4fe5-ad1a-d1820fabc2bb · outbound

This paper cites Available: http://dx.doi.org/10.1561/2200000083.

Distributionally Robust Federated Learning with Client Drift Minimization Available: http://dx.doi.org/10.1561/2200000083

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:36.360004Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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