Communication-Efficient Learning of Deep Networks from Decentralized Data | Paper Citation Record

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Data Aggregation Techniques for Internet of Things cites this paper.

Data Aggregation Techniques for Internet of Things Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 48

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

On Gossip-based Information Dissemination in Pervasive Recommender Systems Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 2016

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Two-stage Federated Phenotyping and Patient Representation Learning cites this paper.

Two-stage Federated Phenotyping and Patient Representation Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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Scheduling Policies for Federated Learning in Wireless Networks cites this paper.

Scheduling Policies for Federated Learning in Wireless Networks Communication-Efficient Learning of Deep Networks from Decentralized Data

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An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning cites this paper.

An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 1

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Prefix-Tuning: Optimizing Continuous Prompts for Generation cites this paper.

Prefix-Tuning: Optimizing Continuous Prompts for Generation Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 20

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Machine Unlearning: A Comprehensive Survey cites this paper.

Machine Unlearning: A Comprehensive Survey Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 158

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Federated Incremental Named Entity Recognition cites this paper.

Federated Incremental Named Entity Recognition Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 24

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Gradient Inversion Attack on Graph Neural Networks cites this paper.

Gradient Inversion Attack on Graph Neural Networks Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 2014

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Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget cites this paper.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Communication-Efficient Learning of Deep Networks from Decentralized Data

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Towards Data Governance of Frontier AI Models cites this paper.

Towards Data Governance of Frontier AI Models Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 76

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A Primer on Large Language Models and their Limitations cites this paper.

A Primer on Large Language Models and their Limitations Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 41

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Federated Block-Term Tensor Regression for decentralised data analysis in healthcare cites this paper.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Communication-Efficient Learning of Deep Networks from Decentralized Data

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Protecting Confidentiality, Privacy and Integrity in Collaborative Learning cites this paper.

Protecting Confidentiality, Privacy and Integrity in Collaborative Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 87

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Predicting Survival of Hemodialysis Patients using Federated Learning cites this paper.

Predicting Survival of Hemodialysis Patients using Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning cites this paper.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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Concurrent vertical and horizontal federated learning with fuzzy cognitive maps cites this paper.

Concurrent vertical and horizontal federated learning with fuzzy cognitive maps Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 90

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Fed-AugMix: Balancing Privacy and Utility via Data Augmentation cites this paper.

Fed-AugMix: Balancing Privacy and Utility via Data Augmentation Communication-Efficient Learning of Deep Networks from Decentralized Data

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FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning cites this paper.

FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks cites this paper.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 36

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LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice cites this paper.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 31

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BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption cites this paper.

BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption Communication-Efficient Learning of Deep Networks from Decentralized Data

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FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning cites this paper.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Communication-Efficient Learning of Deep Networks from Decentralized Data

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Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL cites this paper.

Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL Communication-Efficient Learning of Deep Networks from Decentralized Data

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Integrating Personalized Federated Learning with Control Systems for Enhanced Performance cites this paper.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Communication-Efficient Learning of Deep Networks from Decentralized Data

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Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management cites this paper.

Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management Communication-Efficient Learning of Deep Networks from Decentralized Data

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Secure Federated Graph-Filtering for Recommender Systems cites this paper.

Secure Federated Graph-Filtering for Recommender Systems Communication-Efficient Learning of Deep Networks from Decentralized Data

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Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch cites this paper.

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 2017

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ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning cites this paper.

ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions cites this paper.

Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 39

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One-shot Federated Learning Methods: A Practical Guide cites this paper.

One-shot Federated Learning Methods: A Practical Guide Communication-Efficient Learning of Deep Networks from Decentralized Data

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Beyond Assumptions: Measuring Federated Learning over Real 5G Networks cites this paper.

Beyond Assumptions: Measuring Federated Learning over Real 5G Networks Communication-Efficient Learning of Deep Networks from Decentralized Data

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Aligning Beam with Imbalanced Multi-modality: A Generative Federated Learning Approach cites this paper.

Aligning Beam with Imbalanced Multi-modality: A Generative Federated Learning Approach Communication-Efficient Learning of Deep Networks from Decentralized Data

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Bayesian Federated Learning for Continual Training Communication-Efficient Learning of Deep Networks from Decentralized Data

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Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology cites this paper.

Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology Communication-Efficient Learning of Deep Networks from Decentralized Data

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Heavy-Tailed Privacy: The Symmetric alpha-Stable Privacy Mechanism cites this paper.

Heavy-Tailed Privacy: The Symmetric alpha-Stable Privacy Mechanism Communication-Efficient Learning of Deep Networks from Decentralized Data

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FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting cites this paper.

FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting Communication-Efficient Learning of Deep Networks from Decentralized Data

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Learning and Generalization with Mixture Data cites this paper.

Learning and Generalization with Mixture Data Communication-Efficient Learning of Deep Networks from Decentralized Data

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Bilateral Differentially Private Vertical Federated Boosted Decision Trees Communication-Efficient Learning of Deep Networks from Decentralized Data

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RiM: Record, Improve and Maintain Physical Well-being using Federated Learning cites this paper.

RiM: Record, Improve and Maintain Physical Well-being using Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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Securing Genomic Data Against Inference Attacks in Federated Learning Environments cites this paper.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Communication-Efficient Learning of Deep Networks from Decentralized Data

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A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network cites this paper.

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Communication-Efficient Learning of Deep Networks from Decentralized Data

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Joint Graph Estimation and Signal Restoration for Robust Federated Learning cites this paper.

Joint Graph Estimation and Signal Restoration for Robust Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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FedHQ: Hybrid Runtime Quantization for Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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Energy-Aware Deep Learning on Resource-Constrained Hardware cites this paper.

Energy-Aware Deep Learning on Resource-Constrained Hardware Communication-Efficient Learning of Deep Networks from Decentralized Data

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Reliable Vertical Federated Learning in 5G Core Network Architecture cites this paper.

Reliable Vertical Federated Learning in 5G Core Network Architecture Communication-Efficient Learning of Deep Networks from Decentralized Data

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Distributionally Robust Federated Learning with Client Drift Minimization cites this paper.

Distributionally Robust Federated Learning with Client Drift Minimization Communication-Efficient Learning of Deep Networks from Decentralized Data

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FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation Communication-Efficient Learning of Deep Networks from Decentralized Data

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Accelerated Training of Federated Learning via Second-Order Methods Communication-Efficient Learning of Deep Networks from Decentralized Data

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Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning cites this paper.

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity cites this paper.

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity Communication-Efficient Learning of Deep Networks from Decentralized Data

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The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing cites this paper.

The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing Communication-Efficient Learning of Deep Networks from Decentralized Data

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Federated Learning on Stochastic Neural Networks cites this paper.

Federated Learning on Stochastic Neural Networks Communication-Efficient Learning of Deep Networks from Decentralized Data

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Centroid Approximation for Byzantine-Tolerant Federated Learning cites this paper.

Centroid Approximation for Byzantine-Tolerant Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning cites this paper.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 1282

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Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning cites this paper.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

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Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission cites this paper.

Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission Communication-Efficient Learning of Deep Networks from Decentralized Data

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What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness cites this paper.

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness Communication-Efficient Learning of Deep Networks from Decentralized Data

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 cites this paper.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:04.531422Z

Source-reported events for the cited work

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Observation 0d7233b7-b8ef-4419-bbbc-de01760d56c4 · inbound

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix cites this paper.

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:47.639230Z

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Observation f106be87-9049-4259-9c21-a5bcee2aaef1 · inbound

Learning Private Representations through Entropy-based Adversarial Training cites this paper.

Learning Private Representations through Entropy-based Adversarial Training Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:04.465790Z

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Observation 106a59d9-2eab-4821-8421-866c1120c154 · inbound

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs cites this paper.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:00.990228Z

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Unavailable: canonical work link unavailable.

Observation a3c29c38-5d20-4acf-8014-07f717805de7 · inbound

A Privacy-Centric Approach: Scalable and Secure Federated Learning Enabled by Hybrid Homomorphic Encryption cites this paper.

A Privacy-Centric Approach: Scalable and Secure Federated Learning Enabled by Hybrid Homomorphic Encryption Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:28.484860Z

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Observation 45e45512-4865-4534-8e8a-4ec45ccd0e77 · inbound

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study cites this paper.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.084329Z

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Observation 7fcb46a1-2490-452c-9e87-47b64a22b21b · inbound

Strategic Incentivization for Locally Differentially Private Federated Learning cites this paper.

Strategic Incentivization for Locally Differentially Private Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:20.001993Z

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Observation 47760e6a-e764-42f5-9b3e-acaf56a631dc · inbound

Developing a Transferable Federated Network Intrusion Detection System cites this paper.

Developing a Transferable Federated Network Intrusion Detection System Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T21:16:59.229235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ac481e1-5ed1-4374-85fd-3c014cfa345d · inbound

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning cites this paper.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:16.323624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec7edbc7-61bb-4d60-a475-d5dee8999fb3 · inbound

Centralized vs. Federated Learning for Educational Data Mining: A Comparative Study on Student Performance Prediction with SAEB Microdata cites this paper.

Centralized vs. Federated Learning for Educational Data Mining: A Comparative Study on Student Performance Prediction with SAEB Microdata Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 9840

Resolution: unresolved; no resolver link, observed 2026-08-05T15:33:15.308733Z

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Unavailable: canonical work link unavailable.

Observation a2221434-88c1-4575-9dbd-ce215e850e20 · inbound

Federated Learning: An approach with Hybrid Homomorphic Encryption cites this paper.

Federated Learning: An approach with Hybrid Homomorphic Encryption Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T11:02:17.486989Z

Source-reported events for the cited work

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Observation d64601c9-1da8-4f06-b49c-135b96be4aa0 · inbound

On Hyperparameters and Backdoor-Resistance in Horizontal Federated Learning cites this paper.

On Hyperparameters and Backdoor-Resistance in Horizontal Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T05:35:20.547044Z

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Observation 223e8cd4-29fa-44c6-8400-5ce23b869efa · inbound

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization cites this paper.

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 157

Resolution: unresolved; no resolver link, observed 2026-08-04T21:06:26.377841Z

Source-reported events for the cited work

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Observation 772b2ffd-95ec-48cb-8321-f6666abd61f4 · inbound

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation cites this paper.

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:03.064550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d47edef6-0ed2-4e7f-b151-6c000169888d · inbound

Taming Volatility: Stable and Private QUIC Classification with Federated Learning cites this paper.

Taming Volatility: Stable and Private QUIC Classification with Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T18:22:42.813614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d025ba2-47df-4a18-a2bc-d40d82a9f246 · inbound

FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection cites this paper.

FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T18:23:51.177730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22c3719a-414c-446d-887c-e9029dd41b0e · inbound

FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free cites this paper.

FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T12:23:52.589160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce2269b1-0fc3-4b89-8b02-3c3345cdde23 · inbound

Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data cites this paper.

Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:06:27.372823Z

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 47fcd706-05a2-418a-a560-b12d45d8739e · inbound

Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution cites this paper.

Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T16:34:16.372156Z

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 0ead4636-1863-4a16-acfa-90a5335efb53 · inbound

Standardized Methods and Recommendations for Green Federated Learning cites this paper.

Standardized Methods and Recommendations for Green Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T06:09:00.053380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad083522-a80f-4174-92a2-39b4d72da69e · inbound

A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private Federated Learning cites this paper.

A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T19:59:22.240322Z

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Unavailable: canonical work link unavailable.

Observation 184307e2-8050-4782-a166-ee5168a8e50f · inbound

Pre-Deployment Complexity Estimation for Federated Perception Systems cites this paper.

Pre-Deployment Complexity Estimation for Federated Perception Systems Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T17:11:25.412778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4566ce0-565d-41e8-860b-cdc72e92c5e1 · inbound

Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation cites this paper.

Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:51:11.029830Z

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 2c2a1599-4c14-4387-b55f-a2ffbe0c1968 · inbound

Pseudoconvex Problems in Operational Decision Systems: Algorithms for Joint Learning and Optimization cites this paper.

Pseudoconvex Problems in Operational Decision Systems: Algorithms for Joint Learning and Optimization Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:26:00.798788Z

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 6d8279e0-6de6-402f-89c1-d99da426f33d · inbound

The Impact of Federated Learning on Distributed Remote Sensing Archives cites this paper.

The Impact of Federated Learning on Distributed Remote Sensing Archives Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:16:00.691033Z

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 31cf49ad-7507-4d2b-b44e-b792756f1f10 · inbound

Decoupled DiLoCo for Resilient Distributed Pre-training cites this paper.

Decoupled DiLoCo for Resilient Distributed Pre-training Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 18

Resolution: malformed identifier; arxiv_id, observed 2026-05-09T22:49:15.666426Z

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 1d3635b2-ec9c-43f9-806d-b2c97967de14 · inbound

Scalable Multimodal Beam Alignment in V2X: An Anti-Imbalance Graph Learning Approach cites this paper.

Scalable Multimodal Beam Alignment in V2X: An Anti-Imbalance Graph Learning Approach Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:01:06.456909Z

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 a8f2ca4a-69e5-4b59-881c-01db8a8bc499 · inbound

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning cites this paper.

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:25.204617Z

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 8372940d-21ec-4c2d-84dd-27ba91b2866c · 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 Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:06:31.328404Z

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 f0da1163-d43d-4c68-9de2-0ad563e1656b · inbound

Overcoming data scarcity through multi-center federated learning for organs-at-risk segmentation in pediatric upper abdominal radiotherapy cites this paper.

Overcoming data scarcity through multi-center federated learning for organs-at-risk segmentation in pediatric upper abdominal radiotherapy Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:50:57.987524Z

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 7c4add77-1aa1-4fa6-8448-3ba7257ab53e · inbound

On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems cites this paper.

On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:57.224621Z

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 68a45f49-3ad9-42c7-a17a-f71abafc64a9 · inbound

Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction cites this paper.

Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 235

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:51:32.117902Z

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 9ac94c5b-8f2e-497e-ac4c-922d1b9b2db4 · inbound

Position: Life-Logging Video Streams Make the Privacy-Utility Trade-off Inevitable cites this paper.

Position: Life-Logging Video Streams Make the Privacy-Utility Trade-off Inevitable Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:36.002035Z

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 870a577a-e33c-4ca7-a3df-278d3271c0cf · inbound

BiFedKD: Bidirectional Federated Knowledge Distillation Framework for Non-IID and Long-Tailed ECG Monitoring cites this paper.

BiFedKD: Bidirectional Federated Knowledge Distillation Framework for Non-IID and Long-Tailed ECG Monitoring Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:14:52.957627Z

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 7acbf33c-f9a5-4bff-ab32-17b1a522e763 · inbound

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method cites this paper.

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 237

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T13:13:18.522655Z

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 453f44dd-4256-4e65-8a93-e3f1382f1875 · inbound

Federated Naive Bayes with Real Mixture of Gaussians and Institutional Governance Regularization for Network Intrusion Detection cites this paper.

Federated Naive Bayes with Real Mixture of Gaussians and Institutional Governance Regularization for Network Intrusion Detection Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:18:10.062381Z

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 90b6e151-c535-4692-9b97-9d53d9c20990 · inbound

PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks cites this paper.

PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T11:58:15.347676Z

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 3f771e46-f26f-4545-bb22-76425c584e04 · inbound

PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks cites this paper.

PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:14:59.773577Z

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 15016c13-7576-4b02-8804-860840b74478 · inbound

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging cites this paper.

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 238

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:49:40.717556Z

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 49b3412b-7cf0-4bd7-8e3f-d7b06b344581 · inbound

Can Quantum Federated Learning Withstand Circuit-Level Backdoors? cites this paper.

Can Quantum Federated Learning Withstand Circuit-Level Backdoors? Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:55:48.471635Z

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 65fa621e-7c2e-4779-8679-e001b8104a65 · inbound

SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks cites this paper.

SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T11:43:23.588534Z

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 c332a258-6b54-4142-9ab3-6a03d46b6776 · inbound

FPLIER: Federated Pathway-Level Information Extractor cites this paper.

FPLIER: Federated Pathway-Level Information Extractor Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:49.619899Z

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.

Coverage vector

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Outbound references

Pith citing papers