{"total":20,"rows":[{"id":"2206.03665","title":"Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression","created":"2022-06-08","cited_by_count":33,"area":null},{"id":"2302.00543","title":"DoCoFL: Downlink Compression for Cross-Device Federated Learning","created":"2023-02-01","cited_by_count":28,"area":null},{"id":"2204.13169","title":"FedShuffle: Recipes for Better Use of Local Work in Federated Learning","created":"2022-04-27","cited_by_count":21,"area":null},{"id":"2111.00705","title":"Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization","created":"2021-11-01","cited_by_count":12,"area":null},{"id":"2310.09804","title":"Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates","created":"2023-10-15","cited_by_count":12,"area":null},{"id":"2210.13277","title":"CompressedScaffnew: The First Theoretical Double Acceleration of Communication from Local Training and Compression in Distributed Optimization","created":"2022-10-24","cited_by_count":11,"area":null},{"id":"2305.07612","title":"Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression","created":"2023-05-12","cited_by_count":11,"area":null},{"id":"2310.20682","title":"Compression with Exact Error Distribution for Federated Learning","created":"2023-10-31","cited_by_count":11,"area":null},{"id":"2403.04348","title":"LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression","created":"2024-03-07","cited_by_count":11,"area":null},{"id":"2302.11147","title":"Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning","created":"2023-02-22","cited_by_count":10,"area":null},{"id":"2111.02083","title":"Federated Expectation Maximization with heterogeneity mitigation and variance reduction","created":"2021-11-03","cited_by_count":5,"area":null},{"id":"2207.12779","title":"Reconciling Security and Communication Efficiency in Federated Learning","created":"2022-07-26","cited_by_count":4,"area":null},{"id":"2410.00242","title":"Quantized and Asynchronous Federated Learning","created":"2024-09-30","cited_by_count":3,"area":null},{"id":"2206.00529","title":"Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top","created":"2022-06-01","cited_by_count":2,"area":null},{"id":"2402.11857","title":"Communication-Efficient Distributed Learning with Local Immediate Error Compensation","created":"2024-02-19","cited_by_count":2,"area":null},{"id":"2412.17082","title":"MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes","created":"2024-12-22","cited_by_count":1,"area":null},{"id":"2506.05271","title":"Tight analyses of first-order methods with error feedback","created":"2025-06-05","cited_by_count":1,"area":null},{"id":"2601.12400","title":"BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training","created":"2026-01-18","cited_by_count":1,"area":null},{"id":"2209.15203","title":"Downlink Compression Improves TopK Sparsification","created":"2022-09-30","cited_by_count":0,"area":null},{"id":"2605.31594","title":"A Tight Theory of Error Feedback Algorithms in Distributed Optimization","created":"2026-05-29","cited_by_count":0,"area":null}],"next_cursor":null}