Paper Citation Record · LEDGER

Federated Learning: Strategies for Improving Communication Efficiency

As of 4 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 70 inbound Pith citation observations for arXiv:1610.05492.

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

pith.paper-citation-record.v1
1610.05492 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T13:42:52.973124Z

measured 95 of 95 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 70 of 70 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:51:35.079665Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T19:50:10.985326Z

Reference resolution

25 of 25 outbound references displayed

verified exact8
verified fuzzy16
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 01da1955-45f3-4b45-9508-b98917796ac5 · outbound

This paper cites Conversational Contextual Cues: The Case of Personalization and History for Response Ranking.

Federated Learning: Strategies for Improving Communication Efficiency Conversational Contextual Cues: The Case of Personalization and History for Response Ranking

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:03:14.014108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 924f6509-5f32-4774-bedc-d75db7718f79 · outbound

This paper cites QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding.

Federated Learning: Strategies for Improving Communication Efficiency QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.016676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 11cae8d6-cd79-493b-a715-d4c9f7e864d9 · outbound

This paper cites Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth.

Federated Learning: Strategies for Improving Communication Efficiency Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.084466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6a0eb9a1-c045-45fe-bddd-095fc3e57c9d · outbound

This paper cites Project adam: Building an efficient and scalable deep learning training system.

Federated Learning: Strategies for Improving Communication Efficiency Project adam: Building an efficient and scalable deep learning training system

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.087520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ce364752-2794-4b15-8b4b-eccdc418158a · outbound

This paper cites Large scale distributed deep networks.

Federated Learning: Strategies for Improving Communication Efficiency Large scale distributed deep networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.091012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 93f3ea37-dd24-4667-a749-3f731f6af7aa · outbound

This paper cites Predicting parameters in deep learning.

Federated Learning: Strategies for Improving Communication Efficiency Predicting parameters in deep learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.093856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5ab8587-74dc-42fe-b59b-121d6e784937 · outbound

This paper cites On Randomized Distributed Coordinate Descent with Quantized Updates.

Federated Learning: Strategies for Improving Communication Efficiency On Randomized Distributed Coordinate Descent with Quantized Updates

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:42:52.702749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 76d66206-8611-4d90-a1ef-3b53b730edc8 · outbound

This paper cites Sculley, H.

Federated Learning: Strategies for Improving Communication Efficiency Sculley, H

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.096567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1be9ec3e-5a2f-458d-a86c-3a5d7e00e7b9 · outbound

This paper cites Reddit comments dataset.

Federated Learning: Strategies for Improving Communication Efficiency Reddit comments dataset

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.099561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 908dc2fc-0cab-44ce-a751-84d493fdb68d · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Federated Learning: Strategies for Improving Communication Efficiency Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:59:28.637418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6226d0fa-4146-44da-949c-ee6bece2a7a5 · outbound

This paper cites Randomized Distributed Mean Estimation: Accuracy vs Communication.

Federated Learning: Strategies for Improving Communication Efficiency Randomized Distributed Mean Estimation: Accuracy vs Communication

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-04T18:10:17.127586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b504d95-215b-4972-a935-26d2195de226 · outbound

This paper cites Federated Optimization: Distributed Machine Learning for On-Device Intelligence.

Federated Learning: Strategies for Improving Communication Efficiency Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:42:53.048359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 690ab17b-dd9c-4f86-bc67-74bff00c9842 · outbound

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

Federated Learning: Strategies for Improving Communication Efficiency Learning multiple layers of features from tiny images

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.103177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f2e1d724-15dd-4d7e-a353-d469e919dbd9 · outbound

This paper cites Distributed optimization with arbitrary local solvers.

Federated Learning: Strategies for Improving Communication Efficiency Distributed optimization with arbitrary local solvers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.106633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 20506062-2731-4f1b-b32e-a223e1c1514a · outbound

This paper cites Brendan McMahan and Daniel Ramage.

Federated Learning: Strategies for Improving Communication Efficiency Brendan McMahan and Daniel Ramage

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.057693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4fe584ac-328c-4b03-854d-d95163007457 · outbound

This paper cites Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas.

Federated Learning: Strategies for Improving Communication Efficiency Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.061299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9cf694c5-43d7-428a-8cec-23157f80ec5d · outbound

This paper cites Rabbat and R.D.

Federated Learning: Strategies for Improving Communication Efficiency Rabbat and R.D

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.064493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1e47f945-a797-4d31-a422-1e668c7a9a90 · outbound

This paper cites AIDE: Fast and Communication Efficient Distributed Optimization.

Federated Learning: Strategies for Improving Communication Efficiency AIDE: Fast and Communication Efficient Distributed Optimization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:18:17.345393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 322c337c-e9db-4c5a-8960-e123522f9493 · outbound

This paper cites Communication-efficient distributed optimization using an approximate N ewton-type method.

Federated Learning: Strategies for Improving Communication Efficiency Communication-efficient distributed optimization using an approximate N ewton-type method

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.068207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9060e07f-0a90-4426-95cf-d7c806d38313 · outbound

This paper cites Privacy-preserving deep learning.

Federated Learning: Strategies for Improving Communication Efficiency Privacy-preserving deep learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.071676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 89f05c65-8b46-47aa-b348-f9b139079de3 · outbound

This paper cites Speedtest market report.

Federated Learning: Strategies for Improving Communication Efficiency Speedtest market report

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.074996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dcf4c123-0999-492e-9354-5ebaee3a9026 · outbound

This paper cites Striving for Simplicity: The All Convolutional Net.

Federated Learning: Strategies for Improving Communication Efficiency Striving for Simplicity: The All Convolutional Net

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.036294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 06ab244b-5930-4301-9ccc-a4ab8f0180be · outbound

This paper cites Yu, Sanjiv Kumar, and H.

Federated Learning: Strategies for Improving Communication Efficiency Yu, Sanjiv Kumar, and H

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.078003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 10a15643-e155-4158-872f-82cd1b9c63df · outbound

This paper cites Foundations and Trends in Theoretical Computer Science10(1–2), 1–157 (2014).

Federated Learning: Strategies for Improving Communication Efficiency Foundations and Trends in Theoretical Computer Science10(1–2), 1–157 (2014)

Reference 24

Resolution: verified exact; doi, observed 2026-05-12T13:42:52.998741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ffc83f21-b487-4bcf-8139-a8c73387b47d · outbound

This paper cites D i SCO : Distributed optimization for self-concordant empirical loss.

Federated Learning: Strategies for Improving Communication Efficiency D i SCO : Distributed optimization for self-concordant empirical loss

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:42:53.081143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 9e6bb27d-bce1-40ed-90ac-859e0a7c3e2f · inbound

Federated Learning with Non-IID Data cites this paper.

Federated Learning with Non-IID Data Federated Learning: Strategies for Improving Communication Efficiency

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-16T10:22:06.493392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dbcf2741-7967-4a21-ba04-c1f818125363 · inbound

Active Learning Solution on Distributed Edge Computing cites this paper.

Active Learning Solution on Distributed Edge Computing Federated Learning: Strategies for Improving Communication Efficiency

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:51:00.225928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 758bd501-5125-410e-afac-8cf28f7757a8 · inbound

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Federated Learning: Strategies for Improving Communication Efficiency

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 132758f7-9299-4a84-a064-e4d38ddf3e33 · inbound

Federated Learning with Nonvacuous Generalisation Bounds cites this paper.

Federated Learning with Nonvacuous Generalisation Bounds Federated Learning: Strategies for Improving Communication Efficiency

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-24T06:14:00.226660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 54dd8b59-944e-4b30-9ba6-641f894cd05a · 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 Federated Learning: Strategies for Improving Communication Efficiency

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-05-23T23:48:39.224332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 54f04248-05ad-4eb4-8049-e33f931d8674 · inbound

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning cites this paper.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-23T23:13:37.055341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4ee32d4-5e0e-4a0d-8584-61df764e333f · inbound

Tighter Performance Theory of FedExProx cites this paper.

Tighter Performance Theory of FedExProx Federated Learning: Strategies for Improving Communication Efficiency

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-23T19:03:21.923489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a178e04b-3ee5-42df-9df4-7764a4944024 · inbound

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning cites this paper.

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:25:43.799811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 382bd522-00bd-4d68-b311-437f3f334d5c · inbound

A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence Federated Learning: Strategies for Improving Communication Efficiency

Reference 281

Resolution: verified exact; local_arxiv, observed 2026-05-22T15:34:57.613561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f989ca4-da1f-47de-ae1b-1029c03dfe1c · inbound

Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks cites this paper.

Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks Federated Learning: Strategies for Improving Communication Efficiency

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-18T23:12:53.453356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c783b0c-7cef-4e0d-b5ea-42dae209655c · inbound

Stochastic versus Deterministic in Stochastic Gradient Descent cites this paper.

Stochastic versus Deterministic in Stochastic Gradient Descent Federated Learning: Strategies for Improving Communication Efficiency

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-18T20:16:50.157082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 32b5bf43-40f9-4436-b1af-8780d23371f0 · inbound

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

Optimizing Split Federated Learning with Unstable Client Participation Federated Learning: Strategies for Improving Communication Efficiency

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-18T15:26:33.792288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 183812f1-d719-4c32-9f32-df1a2e1d622a · inbound

High-Probability Convergence Guarantees of Decentralized SGD cites this paper.

High-Probability Convergence Guarantees of Decentralized SGD Federated Learning: Strategies for Improving Communication Efficiency

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-18T08:46:07.855122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4738347a-b5b1-4d51-b780-c52688ad24b3 · inbound

High-Probability Convergence Guarantees of Decentralized SGD cites this paper.

High-Probability Convergence Guarantees of Decentralized SGD Federated Learning: Strategies for Improving Communication Efficiency

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-22T13:16:35.054339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 113c655b-82ab-4268-a618-920ff531f224 · inbound

SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening cites this paper.

SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening Federated Learning: Strategies for Improving Communication Efficiency

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-18T08:56:08.491949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64bda876-47f9-4bba-bcbb-216556e51533 · inbound

DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning cites this paper.

DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.877392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4c5bacd5-0433-45a8-bf0e-b46b661c6c6b · inbound

Multi-user Pufferfish Privacy cites this paper.

Multi-user Pufferfish Privacy Federated Learning: Strategies for Improving Communication Efficiency

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-16T20:51:15.311302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b95a6fec-bdb3-4a7d-be3c-c52be6e8b7ac · inbound

Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things cites this paper.

Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things Federated Learning: Strategies for Improving Communication Efficiency

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T19:40:42.289864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12d1702d-eb49-461a-ac17-45ce839e4e7f · inbound

On Signal Peak Power Constraint of Over-the-Air Federated Learning cites this paper.

On Signal Peak Power Constraint of Over-the-Air Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:48:21.946080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 94b6dc00-73e0-49ef-8018-d2d6fce13688 · inbound

DeepFedNAS: Efficient Hardware-Aware Architecture Adaptation for Heterogeneous IoT Federations via Pareto-Guided Supernet Training cites this paper.

DeepFedNAS: Efficient Hardware-Aware Architecture Adaptation for Heterogeneous IoT Federations via Pareto-Guided Supernet Training Federated Learning: Strategies for Improving Communication Efficiency

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-16T12:07:50.748705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d59688b-69dd-444e-b77c-0343c87ed8fa · inbound

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems cites this paper.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Federated Learning: Strategies for Improving Communication Efficiency

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.079665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388b77cb-30a8-4026-bb6a-495ec783faa1 · inbound

Stabilized Proximal Point Method via Trust Region Control cites this paper.

Stabilized Proximal Point Method via Trust Region Control Federated Learning: Strategies for Improving Communication Efficiency

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-13T18:33:06.555171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 82be76e2-af16-43d9-80d7-118e7d494bf6 · inbound

Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement cites this paper.

Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement Federated Learning: Strategies for Improving Communication Efficiency

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T17:28:02.272430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 45e23d4b-a807-41b2-a181-16ff1956035b · inbound

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation cites this paper.

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation Federated Learning: Strategies for Improving Communication Efficiency

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4158310c-3176-493f-8cf4-03c04c920216 · inbound

Scalar Federated Learning for Linear Quadratic Regulator cites this paper.

Scalar Federated Learning for Linear Quadratic Regulator Federated Learning: Strategies for Improving Communication Efficiency

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3618b460-dcea-4c9b-be30-b2766a2cfbb4 · inbound

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers cites this paper.

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers Federated Learning: Strategies for Improving Communication Efficiency

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 364f1cec-13fd-46c6-a41c-a5873b9c5821 · inbound

Communication-Efficient Gluon in Federated Learning cites this paper.

Communication-Efficient Gluon in Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5b4fb967-ff9a-40af-98ae-6563dac31e27 · inbound

Understanding Communication Backends in Cross-Silo Federated Learning cites this paper.

Understanding Communication Backends in Cross-Silo Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f97f3207-9ba4-4744-adc3-43112287ce74 · inbound

Representation-Aligned Multi-Scale Personalization for Federated Learning cites this paper.

Representation-Aligned Multi-Scale Personalization for Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9277bd67-1dda-4ae2-a44b-5e058ca566d0 · inbound

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR cites this paper.

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR Federated Learning: Strategies for Improving Communication Efficiency

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 424e8a8e-1144-4275-a92b-153e3d7f5652 · inbound

Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations cites this paper.

Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations Federated Learning: Strategies for Improving Communication Efficiency

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dae08766-fa72-4643-beb0-579ea7ecb3fb · inbound

Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy cites this paper.

Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy Federated Learning: Strategies for Improving Communication Efficiency

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eb7c6368-e85e-472b-b5bf-d2dcac583238 · inbound

FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices cites this paper.

FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices Federated Learning: Strategies for Improving Communication Efficiency

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5caa3f83-311f-4973-916c-11b363f755e9 · inbound

FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices cites this paper.

FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices Federated Learning: Strategies for Improving Communication Efficiency

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:37:29.580099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1ceb4622-ee6d-4e20-8768-155b702813ff · inbound

FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices cites this paper.

FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices Federated Learning: Strategies for Improving Communication Efficiency

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-04T01:49:21.576817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 264c1b75-f8e3-400d-94c5-591d4dd171c4 · inbound

Subspace Optimization for Efficient Federated Learning under Heterogeneous Data cites this paper.

Subspace Optimization for Efficient Federated Learning under Heterogeneous Data Federated Learning: Strategies for Improving Communication Efficiency

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8525fbfc-c8dc-4c57-b22a-b44847631822 · inbound

On the Capacity of Hierarchical Secure Aggregation with Groupwise Keys cites this paper.

On the Capacity of Hierarchical Secure Aggregation with Groupwise Keys Federated Learning: Strategies for Improving Communication Efficiency

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24222d4e-7252-4975-87c0-9578947d6d7f · inbound

Multi-Server Secure Aggregation with Arbitrary Collusion and Heterogeneous Security Constraints cites this paper.

Multi-Server Secure Aggregation with Arbitrary Collusion and Heterogeneous Security Constraints Federated Learning: Strategies for Improving Communication Efficiency

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dd319ad4-6823-4ff9-9387-afea8ede3361 · inbound

Scaling Federated Linear Contextual Bandits via Sketching cites this paper.

Scaling Federated Linear Contextual Bandits via Sketching Federated Learning: Strategies for Improving Communication Efficiency

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d174764-2b6b-40e8-a880-53b96d28bcc6 · inbound

Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey cites this paper.

Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey Federated Learning: Strategies for Improving Communication Efficiency

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7c1501bf-4e43-4565-a703-eae8316e74f0 · inbound

Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models cites this paper.

Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models Federated Learning: Strategies for Improving Communication Efficiency

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9865f5e5-3b2e-4800-8ffe-6c4337e68787 · inbound

Quantizing With Randomized Hadamard Transforms: Efficient Heuristic Now Proven cites this paper.

Quantizing With Randomized Hadamard Transforms: Efficient Heuristic Now Proven Federated Learning: Strategies for Improving Communication Efficiency

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a4c9eb5-200c-46a4-aa94-18bf142ac8d2 · inbound

Response Time Enhances Alignment with Heterogeneous Preferences cites this paper.

Response Time Enhances Alignment with Heterogeneous Preferences Federated Learning: Strategies for Improving Communication Efficiency

Reference 221

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8edfa7c2-a659-4b54-9f04-11faa0dc90d7 · inbound

Modulated learning for private and distributed regression with just a single sample per client device cites this paper.

Modulated learning for private and distributed regression with just a single sample per client device Federated Learning: Strategies for Improving Communication Efficiency

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4c59ab16-a033-47c9-a421-fe7141ce3efc · inbound

Modulated learning for private and distributed regression with just a single sample per client device cites this paper.

Modulated learning for private and distributed regression with just a single sample per client device Federated Learning: Strategies for Improving Communication Efficiency

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:35:07.891086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 104402a2-b044-48fb-92e8-86e74fb4687e · inbound

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits cites this paper.

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits Federated Learning: Strategies for Improving Communication Efficiency

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 440e010f-f54f-4095-81bf-bb520c78bc10 · 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 Federated Learning: Strategies for Improving Communication Efficiency

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 97bdfab9-8983-4300-9654-a47e572561e4 · inbound

Privacy-Preserving Federated Learning: Integrating Zero-Knowledge Proofs in Scalable Distributed Architectures cites this paper.

Privacy-Preserving Federated Learning: Integrating Zero-Knowledge Proofs in Scalable Distributed Architectures Federated Learning: Strategies for Improving Communication Efficiency

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 775282f8-9f9e-41b4-8c37-dcac85e0b791 · inbound

Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates cites this paper.

Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates Federated Learning: Strategies for Improving Communication Efficiency

Reference 194

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 55b71a57-41f7-4042-aa47-e6b1d5abe2d6 · inbound

Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs cites this paper.

Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs Federated Learning: Strategies for Improving Communication Efficiency

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:42:53.107840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ea3b6c6-be56-41a7-8523-2d05fe9de487 · inbound

Centralized vs Decentralized Federated Learning: A trade-off performance analysis cites this paper.

Centralized vs Decentralized Federated Learning: A trade-off performance analysis Federated Learning: Strategies for Improving Communication Efficiency

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:18:59.741527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e61cda91-11c8-4517-a549-b21714d537b6 · inbound

Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning cites this paper.

Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-20T08:03:08.753109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ccb969b0-af29-4aaa-b9f6-0273a354340e · inbound

Information-Theoretic Decentralized Secure Aggregation with User Dropouts cites this paper.

Information-Theoretic Decentralized Secure Aggregation with User Dropouts Federated Learning: Strategies for Improving Communication Efficiency

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-22T04:14:37.524094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 034c59f4-943b-4ef3-ba0a-f079f8e256fa · inbound

Nonlinear Data Integration via Kernel Methods for Data Collaboration Analysis cites this paper.

Nonlinear Data Integration via Kernel Methods for Data Collaboration Analysis Federated Learning: Strategies for Improving Communication Efficiency

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:33:50.310943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e023b669-0471-4240-a690-65bf73e19539 · inbound

Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee cites this paper.

Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee Federated Learning: Strategies for Improving Communication Efficiency

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:53:28.477985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b1a945ef-c4a7-4999-8ddb-5a584a43dcd0 · inbound

FlashbackCL: Mitigating Temporal Forgetting in Federated Learning cites this paper.

FlashbackCL: Mitigating Temporal Forgetting in Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:16:26.966829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf3165f6-a50a-46e8-b0f3-fdffb23673ac · 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 Federated Learning: Strategies for Improving Communication Efficiency

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T08:46:49.041901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed53e681-cc0e-4be6-830c-5e63cf7fd479 · inbound

The Capacity of Information-Theoretic Secure Aggregation in Federated Learning cites this paper.

The Capacity of Information-Theoretic Secure Aggregation in Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T20:17:22.302743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a890e9b-cee8-47d0-a353-34fb444d5fae · inbound

Enhanced localized conformal prediction with imperfect auxiliary information cites this paper.

Enhanced localized conformal prediction with imperfect auxiliary information Federated Learning: Strategies for Improving Communication Efficiency

Reference 66

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T23:47:27.388216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e64ff8b4-1657-47b4-b5f2-939c9402bf09 · inbound

Privacy-Preserving Credit Risk Prediction with Alternative Data cites this paper.

Privacy-Preserving Credit Risk Prediction with Alternative Data Federated Learning: Strategies for Improving Communication Efficiency

Reference 70

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T04:47:38.135812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8d9a00a9-c31b-49fa-8589-b5e3d8b81902 · inbound

Unifying Local Communications and Local Updates for LLM Pretraining cites this paper.

Unifying Local Communications and Local Updates for LLM Pretraining Federated Learning: Strategies for Improving Communication Efficiency

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-03T04:07:37.159667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12e2b2d1-986d-41ee-b88c-b5098fc10763 · inbound

JiRAIYA: A Reputation-Based Hierarchical Federated Learning Framework on Web3 cites this paper.

JiRAIYA: A Reputation-Based Hierarchical Federated Learning Framework on Web3 Federated Learning: Strategies for Improving Communication Efficiency

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T16:08:37.874165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f08653ea-a710-43b1-a166-f862df2d5b27 · inbound

TIGER: Inverting Transformer Gradients via Embedding-Subspace Distance Optimization cites this paper.

TIGER: Inverting Transformer Gradients via Embedding-Subspace Distance Optimization Federated Learning: Strategies for Improving Communication Efficiency

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-07-03T21:28:59.429201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d8d655d-04a0-4ef5-8ae8-b158f4afda34 · inbound

Federated Learning for Global Carbon Emission Forecasting: A Hybrid Time-Series Approach with Statistical and Neural Models cites this paper.

Federated Learning for Global Carbon Emission Forecasting: A Hybrid Time-Series Approach with Statistical and Neural Models Federated Learning: Strategies for Improving Communication Efficiency

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:59:42.868465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ceb3f468-7363-4ddd-aa28-9872598d0eb0 · inbound

TL++: Accuracy and Privacy Preserving Traversal Learning for Distributed Intelligent Systems cites this paper.

TL++: Accuracy and Privacy Preserving Traversal Learning for Distributed Intelligent Systems Federated Learning: Strategies for Improving Communication Efficiency

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T19:50:10.986874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c3c3c33-c9af-4367-9222-526131824cd3 · inbound

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

Quantization in Federated Learning: Methods, Challenges and Future Directions Federated Learning: Strategies for Improving Communication Efficiency

Reference 59

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T13:49:51.297309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1bfb35ca-c388-4aa3-8a06-4e612483ccca · inbound

FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks cites this paper.

FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks Federated Learning: Strategies for Improving Communication Efficiency

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:06:02.953089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e6492dff-29c1-4cae-92d2-2b7151724b5d · inbound

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage cites this paper.

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage Federated Learning: Strategies for Improving Communication Efficiency

Reference 128

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T16:44:56.422034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4278bcf8-8cbb-4669-a979-48ca88074d9e · inbound

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation cites this paper.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Federated Learning: Strategies for Improving Communication Efficiency

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T09:16:45.710835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 601e598f-d4a8-4476-a5fc-eaf9323b0da4 · inbound

Robust Estimation of Sparse Numerical Vectors under Local Differential Privacy cites this paper.

Robust Estimation of Sparse Numerical Vectors under Local Differential Privacy Federated Learning: Strategies for Improving Communication Efficiency

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T01:01:49.720833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.