Paper Citation Record · LEDGER

Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2008.03606.

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

pith.paper-citation-record.v1
2008.03606 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:13:44.474773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:48:46.106003Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 508eb73e-2bc2-47fa-87f1-34c61b29b067 · inbound

Non-convex composite federated learning with heterogeneous data cites this paper.

Non-convex composite federated learning with heterogeneous data Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T00:13:44.474773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c13a73-fcb5-43cf-bba9-dc825317a819 · inbound

Tackling Heterogeneity in Federated Learning via Variance-Reduced Boltzmann Sampling within Homogeneous Social Coalitions cites this paper.

Tackling Heterogeneity in Federated Learning via Variance-Reduced Boltzmann Sampling within Homogeneous Social Coalitions Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:03.261637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a393af2-9eff-4251-a62e-8943c88dac49 · inbound

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness cites this paper.

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:24.682601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d524f13-ccaa-4045-85f0-25d78fe3140b · inbound

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios cites this paper.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:06.455247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ca87f9-737d-4792-b967-c0ce0a1568de · inbound

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach cites this paper.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:24:43.227348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe769f28-10b0-4585-b1af-54cddb612445 · inbound

Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach cites this paper.

Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T22:15:40.941871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cb534a3-488e-4bd9-8879-46b1821e8d09 · inbound

Generalizable Federated Learning using Client Adaptive Focal Modulation cites this paper.

Generalizable Federated Learning using Client Adaptive Focal Modulation Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T20:19:05.655015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35b018fc-3de1-4c02-9112-5fa910202634 · inbound

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation cites this paper.

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T11:23:48.769342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94baa0a9-a528-4eb6-97cd-2e02129a3ef8 · inbound

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization cites this paper.

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-04T21:06:26.246648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2975085c-548d-4197-afaf-9fd569ada01d · inbound

Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning cites this paper.

Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T11:20:09.214747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2da43d1-741c-43bd-9277-5e88d51f9eb3 · inbound

LoRDO: Distributed Low-Rank Optimization with Infrequent Communication cites this paper.

LoRDO: Distributed Low-Rank Optimization with Infrequent Communication Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T04:44:55.507006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a33a09f-7a04-4c55-9103-01a1da9cc2b6 · inbound

FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning cites this paper.

FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:00:10.283043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ef18d8b4-34fc-41d4-9fb2-87c525a90f4e · inbound

Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning cites this paper.

Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:16:14.066799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b146191-541e-4f26-9b94-e0e9a0bda9c5 · inbound

SILAGE: Memory-Efficient, Full-Gradient-Free Nonconvex Optimization for Nested Finite Sums cites this paper.

SILAGE: Memory-Efficient, Full-Gradient-Free Nonconvex Optimization for Nested Finite Sums Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:48:46.107866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7f2fca91-9904-4dc7-a8a9-043fee56bbbc · inbound

FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity cites this paper.

FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 98

Resolution: unresolved; no resolver link, observed 2026-07-12T00:07:55.485589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e4881f0-f920-4e79-adce-d56fb15177c2 · inbound

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity cites this paper.

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T01:23:32.303301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.