Paper Citation Record · LEDGER

Communication Efficiency in Federated Learning: Achievements and Challenges

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2107.10996.

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

pith.paper-citation-record.v1
2107.10996 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:51:37.883574Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:49:51.287324Z

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 e7a1e631-550a-4943-9c13-8180d0eaf453 · inbound

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions cites this paper.

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:48:39.370598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 674582e2-6901-48cb-b80f-caeedfad47d0 · inbound

Adaptive Client Selection with Personalization for Communication Efficient Federated Learning cites this paper.

Adaptive Client Selection with Personalization for Communication Efficient Federated Learning Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T11:51:37.883574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0586f9c2-f22a-4b27-8dd6-c1a071787a65 · inbound

A Robust Federated Learning Framework for Undependable Devices at Scale cites this paper.

A Robust Federated Learning Framework for Undependable Devices at Scale Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.348131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3d60137-eecc-47a7-8df5-10768d7be04f · inbound

Encoded Spatial Attribute in Multi-Tier Federated Learning cites this paper.

Encoded Spatial Attribute in Multi-Tier Federated Learning Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:44.403257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6847343-df6c-4af3-9277-da985ba3f05c · inbound

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models cites this paper.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.502442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec8c23bb-d06c-4e30-997d-31cb07aea371 · inbound

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization cites this paper.

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T16:10:53.354510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3648656d-137b-4372-8319-ec4cb13cfb22 · inbound

Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback cites this paper.

Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:50:54.505846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f370cf35-b3e0-47cb-a8f9-3fd6632388bf · inbound

COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication cites this paper.

COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:22.291927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ef54a6d-ae06-473b-b395-e7dcff8f2741 · inbound

COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication cites this paper.

COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:05:46.260639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8a35840f-4b54-4d5f-8c5f-da128f69a6f1 · inbound

Quantization in Federated Learning: Methods, Challenges and Future Directions cites this paper.

Quantization in Federated Learning: Methods, Challenges and Future Directions Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:49:51.289064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.