Paper Citation Record · LEDGER

Federated Meta-Learning with Fast Convergence and Efficient Communication

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:1802.07876.

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

pith.paper-citation-record.v1
1802.07876 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 2026-08-16T06:30:59.297886+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:50.109024Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T06:55:10.648587Z

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 04ccb76e-bd20-4f8e-aa0a-0231578fe094 · inbound

On Gossip-based Information Dissemination in Pervasive Recommender Systems cites this paper.

On Gossip-based Information Dissemination in Pervasive Recommender Systems Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T13:13:45.268194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93a0bdbc-fb1e-4388-8edf-2cdd1587bc4b · inbound

Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs cites this paper.

Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T13:05:22.216879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490e6733-60e6-4e91-beb0-5b11d2cf5bae · inbound

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

Federated Learning: Challenges, Methods, and Future Directions Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T11:57:36.022735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002eee82-2db3-490e-8239-7f49a69013a9 · inbound

On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations cites this paper.

On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:06.515270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fbd9f1f-8637-4dd3-9957-8c8d7dfd221f · inbound

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction cites this paper.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T04:35:55.302101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2c0fa2f-349f-4bac-9658-59593f1c5940 · inbound

FedAH: Aggregated Head for Personalized Federated Learning cites this paper.

FedAH: Aggregated Head for Personalized Federated Learning Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T04:35:29.479316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7076e7aa-5907-4d9b-a260-bcaa447b3508 · inbound

Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift cites this paper.

Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T11:46:08.301468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c963445-63e5-4d8c-8d52-a654a3b50886 · inbound

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems cites this paper.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:32.475863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18493f80-c789-47ba-8df0-4ca26093b266 · inbound

Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions cites this paper.

Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:28:50.109024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f5fcfde-c3fa-42b5-99e4-5de9770b1cd5 · inbound

Task-Agnostic Semantic Communications Relying on Information Bottleneck and Federated Meta-Learning cites this paper.

Task-Agnostic Semantic Communications Relying on Information Bottleneck and Federated Meta-Learning Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:00:42.756086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb30bd7-5842-4674-8bc5-baa029fcff43 · inbound

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields cites this paper.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T22:57:18.712993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5de9eafd-9e01-4b44-8705-9c755019e59f · inbound

Federated Learning with Heterogeneous and Private Label Sets cites this paper.

Federated Learning with Heterogeneous and Private Label Sets Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T16:18:09.987784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ff9de3-b924-4008-b2b2-65437e84c6d4 · inbound

When To Adapt? Adapting the Model or Data in Federated Medical Imaging cites this paper.

When To Adapt? Adapting the Model or Data in Federated Medical Imaging Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:11:06.028642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab169435-f71e-45b4-bafe-271e018fb8d9 · inbound

Personalized Digital Health Modeling with Adaptive Support Users cites this paper.

Personalized Digital Health Modeling with Adaptive Support Users Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:50:26.378565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 16264961-b47d-4bd5-877c-705bd78f0a0a · inbound

Personalized Digital Health Modeling with Adaptive Support Users cites this paper.

Personalized Digital Health Modeling with Adaptive Support Users Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:55:10.651952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f13ddd3e-cdd6-4c28-b4bf-e59a042ef38d · inbound

Joint Channel Estimation and Dynamics-Aware Grouping for Time-Varying RIS-Assisted OTA Federated Learning cites this paper.

Joint Channel Estimation and Dynamics-Aware Grouping for Time-Varying RIS-Assisted OTA Federated Learning Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T18:53:34.726901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.