Paper Citation Record · LEDGER

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data

As of 22 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2411.19798.

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

pith.paper-citation-record.v1
2411.19798 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:53:40.941878Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

verified exact0
verified fuzzy4
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94e1215b-3d32-4b6d-a08c-271712612bc9 · outbound

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

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data Communication-efficient learning of deep networks from decentralized data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:41.186393Z

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.

Observation f6008a77-fe83-4973-9175-e7922bce8689 · outbound

This paper cites Accelerating federated learn- ing via momentum gradient descent,.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data Accelerating federated learn- ing via momentum gradient descent,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:40.889452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d52f03f4-1d65-4505-8f4d-1ebfa615400e · outbound

This paper cites SCAFFOLD: stochastic controlled averaging for federated learning,.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data SCAFFOLD: stochastic controlled averaging for federated learning,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:40.894285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd47c75d-411b-4f01-960f-20bd243be335 · outbound

This paper cites Feddyn: A dynamic and efficient federated distillation approach on recommender system,.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data Feddyn: A dynamic and efficient federated distillation approach on recommender system,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:40.899120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec2af34d-df80-402a-b99a-b6d37e47030f · outbound

This paper cites Adaptive federated optimization,.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data Adaptive federated optimization,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:41.154646Z

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.

Observation 1fb2a7b3-4408-49ee-9fca-084342b1b847 · outbound

This paper cites FedCM: Federated Learning with Client-level Momentum.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data FedCM: Federated Learning with Client-level Momentum

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:40.909007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32700ce1-66f6-40e6-81bc-18dd98464473 · outbound

This paper cites Faster adaptive federated learning,.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data Faster adaptive federated learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:40.914784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1289ef7-6456-4ba8-9622-6b9c3f621363 · outbound

This paper cites Communication-efficient adaptive federated learning,.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data Communication-efficient adaptive federated learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:41.140595Z

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.

Observation 369c6c53-79ab-4ae3-bb2d-0873055a4758 · outbound

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

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data The mnist database of handwritten digit images for machine learning research,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:40.928663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3936d10-5a47-40a5-a114-a5fa6204f511 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data Learning multiple layers of features from tiny images,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:40.932992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b90c14f9-316e-4d37-bc2f-1ecfad794c4b · outbound

This paper cites Gradient-based learning applied to document recognition,.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data Gradient-based learning applied to document recognition,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:40.937391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24861241-7d35-4d69-9585-fca8a6d9e287 · outbound

This paper cites Deep residual learning for image recognition,.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data Deep residual learning for image recognition,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:40.941878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49d9b444-dbef-4dc9-a705-9e7767c0b35c · outbound

This paper cites 22 802–22 838.

Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data 22 802–22 838

Reference 162

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:41.124607Z

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.

Pith citing papers

No inbound Pith citation observations are available.