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Paper Citation Record · LEDGER

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.10429.

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

pith.paper-citation-record.v1
2302.10429 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:06:26.512697Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:35:50.938632Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 7209319c-8b32-4c22-826a-f1b96af19fa7 · inbound

Convergent Differential Privacy Analysis for General Federated Learning cites this paper.

Convergent Differential Privacy Analysis for General Federated Learning FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:35:50.945067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T22:33:41.347488Z digest=sha256:a3a664314b83a457b6d4744ce293e8e34113e9200ff0712ee185ff00b73d126f

Observation 6b1100c1-b6c9-4e72-bcd0-e8fbf3f21ac5 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

Reference 143

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T20:58:26.013456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:d0086b2770c9ef6bafee144cd3ac767155d9694aee2f25022636f1c89e426de6

Observation 7cac4194-21c2-4bac-a58a-ac872243d3fc · 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 FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

Reference 203

Resolution
unresolved
no resolver link, observed 2026-08-04T21:06:26.512697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:06:26.512697Z digest=sha256:37b3273caed9ff170473c13acad8361d4ea1926f43d19f94c13a29df06239178

Observation d628e2f7-3260-4759-a9ee-dc8bc887cae0 · inbound

FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning cites this paper.

FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:51:26.591340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T04:51:33.265354Z digest=sha256:ed66f1d3aa964a79e4826edbf62f971532b2dba02d668fcc781d2cf91b9cea97

Observation 703d815c-fdc1-4e7f-b6eb-ba12c7eea736 · inbound

FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering cites this paper.

FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-11T21:13:04.339445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:13:04.339445Z digest=sha256:a05f3b614212f9da24e91436407ec633216def675878589650ca5995a084c03a