Paper Citation Record · LEDGER

Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2010.01243.

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

pith.paper-citation-record.v1
2010.01243 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 2026-08-11T06:34:44.6726+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:32:31.592532Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:07:27.814732Z

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 a6fd0302-ba97-4404-8e43-6c7487ea3f08 · inbound

Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks cites this paper.

Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:31.592532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25f50ad3-a7cd-43d9-9f59-aab3a29aa123 · inbound

Incentive-Compatible Federated Learning with Stackelberg Game Modeling cites this paper.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:02.242377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c53be530-970a-454f-ac27-3896b77b2497 · inbound

PFedDST: Personalized Federated Learning with Decentralized Selection Training cites this paper.

PFedDST: Personalized Federated Learning with Decentralized Selection Training Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T11:44:26.160550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f49d9020-f650-4893-a74c-8e7e947e773c · 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 Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T11:23:44.736995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc223561-b475-42c0-acca-aa16df7b681b · inbound

Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling cites this paper.

Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:58:01.360780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc55b9b-dbbb-477f-9aec-e41afbded25d · inbound

Optimizing Split Federated Learning with Unstable Client Participation cites this paper.

Optimizing Split Federated Learning with Unstable Client Participation Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:26:33.771784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 83be774b-a56a-4371-b506-e0d04f43a4c7 · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:13:59.734835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dbf81707-ff1c-49d0-903a-c7092ada80da · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:11:22.973114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f6f2c2ca-5e25-4a3f-9fdd-46072f0e6983 · inbound

DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning cites this paper.

DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:46:49.027250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e173f04d-8df1-4ad5-a6bb-a375d179d010 · inbound

FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching cites this paper.

FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:07:27.816259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.