{"total":69,"rows":[{"id":"2202.09357","title":"ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!","created":"2022-02-18","cited_by_count":134,"area":null},{"id":"2111.12444","title":"Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications","created":"2021-11-24","cited_by_count":97,"area":null},{"id":"2106.10874","title":"FedCM: Federated Learning with Client-level Momentum","created":"2021-06-21","cited_by_count":77,"area":null},{"id":"2206.00187","title":"DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training","created":"2022-06-01","cited_by_count":74,"area":null},{"id":"2202.03836","title":"An Improved Analysis of Gradient Tracking for Decentralized Machine Learning","created":"2022-02-08","cited_by_count":69,"area":null},{"id":"2110.13363","title":"Exponential Graph is Provably Efficient for Decentralized Deep Training","created":"2021-10-26","cited_by_count":56,"area":null},{"id":"2104.11981","title":"DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training","created":"2021-04-24","cited_by_count":40,"area":null},{"id":"2110.04175","title":"RelaySum for Decentralized Deep Learning on Heterogeneous Data","created":"2021-10-08","cited_by_count":39,"area":null},{"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":"2204.04452","title":"Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data","created":"2022-04-09","cited_by_count":32,"area":null},{"id":"2202.01545","title":"Byzantine-Robust Decentralized Learning via ClippedGossip","created":"2022-02-03","cited_by_count":31,"area":null},{"id":"2105.08023","title":"Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD","created":"2021-05-17","cited_by_count":29,"area":null},{"id":"2206.03093","title":"Beyond spectral gap: The role of the topology in decentralized learning","created":"2022-06-07","cited_by_count":27,"area":null},{"id":"2112.00734","title":"Personalized Federated Learning with Adaptive Batchnorm for Healthcare","created":"2021-12-01","cited_by_count":26,"area":null},{"id":"2207.06343","title":"TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels","created":"2022-07-13","cited_by_count":26,"area":null},{"id":"2106.08315","title":"Decentralized Local Stochastic Extra-Gradient for Variational Inequalities","created":"2021-06-15","cited_by_count":25,"area":null},{"id":"2203.12285","title":"Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching","created":"2022-03-23","cited_by_count":24,"area":null},{"id":"2210.07863","title":"Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization","created":"2022-10-14","cited_by_count":23,"area":null},{"id":"2308.00522","title":"Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup","created":"2023-07-30","cited_by_count":23,"area":null},{"id":"2209.15505","title":"Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data","created":"2022-09-30","cited_by_count":20,"area":null},{"id":"2111.04287","title":"BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning","created":"2021-11-08","cited_by_count":16,"area":null},{"id":"2305.16297","title":"Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?","created":"2023-05-25","cited_by_count":14,"area":null},{"id":"2104.07365","title":"D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning","created":"2021-04-15","cited_by_count":12,"area":null},{"id":"2204.06477","title":"Data-heterogeneity-aware Mixing for Decentralized Learning","created":"2022-04-13","cited_by_count":12,"area":null},{"id":"2305.04792","title":"Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data","created":"2023-05-08","cited_by_count":12,"area":null},{"id":"2305.11420","title":"Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence","created":"2023-05-19","cited_by_count":9,"area":null},{"id":"2405.17876","title":"Decentralized Directed Collaboration for Personalized Federated Learning","created":"2024-05-28","cited_by_count":9,"area":null},{"id":"2209.07116","title":"On Generalization of Decentralized Learning with Separable Data","created":"2022-09-15","cited_by_count":8,"area":null},{"id":"2305.15157","title":"Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training","created":"2023-05-24","cited_by_count":8,"area":null},{"id":"2509.26337","title":"FedMuon: Federated Learning with Bias-corrected LMO-based Optimization","created":"2025-09-30","cited_by_count":8,"area":null},{"id":"2306.08289","title":"$\\textbf{A}^2\\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning","created":"2023-06-14","cited_by_count":7,"area":null},{"id":"2306.00256","title":"DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm","created":"2023-06-01","cited_by_count":6,"area":null},{"id":"2204.06787","title":"Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression","created":"2022-04-14","cited_by_count":5,"area":null},{"id":"2209.14390","title":"Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions","created":"2022-09-28","cited_by_count":5,"area":null},{"id":"2310.05093","title":"Asymmetrically Decentralized Federated Learning","created":"2023-10-08","cited_by_count":5,"area":null},{"id":"2312.10815","title":"DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations","created":"2023-12-17","cited_by_count":5,"area":null},{"id":"2407.19234","title":"Ordered Momentum for Asynchronous SGD","created":"2024-07-27","cited_by_count":5,"area":null},{"id":"2211.00533","title":"Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks","created":"2022-11-01","cited_by_count":4,"area":null},{"id":"2410.11998","title":"From promise to practice: realizing high-performance decentralized training","created":"2024-10-15","cited_by_count":4,"area":null},{"id":"2301.02151","title":"Beyond spectral gap (extended): The role of the topology in decentralized learning","created":"2023-01-05","cited_by_count":3,"area":null},{"id":"2304.04326","title":"Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning","created":"2023-04-09","cited_by_count":3,"area":"distill"},{"id":"2404.08079","title":"DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models","created":"2024-04-11","cited_by_count":3,"area":null},{"id":"2501.15259","title":"Scalable Decentralized Learning with Teleportation","created":"2025-01-25","cited_by_count":3,"area":null},{"id":"2111.09389","title":"Low Precision Decentralized Distributed Training over IID and non-IID Data","created":"2021-11-17","cited_by_count":2,"area":null},{"id":"2303.15378","title":"CoDeC: Communication-Efficient Decentralized Continual Learning","created":"2023-03-27","cited_by_count":2,"area":null},{"id":"2403.13247","title":"FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis","created":"2024-03-20","cited_by_count":2,"area":null},{"id":"2407.04460","title":"Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning","created":"2024-07-05","cited_by_count":2,"area":null},{"id":"2503.23726","title":"PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution","created":"2025-03-31","cited_by_count":2,"area":null},{"id":"2510.07980","title":"Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2306.09595","title":"Structured Cooperative Learning with Graphical Model Priors","created":"2023-06-16","cited_by_count":1,"area":null},{"id":"2403.03292","title":"Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data","created":"2024-03-05","cited_by_count":1,"area":null},{"id":"2404.05919","title":"AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression","created":"2024-04-09","cited_by_count":1,"area":null},{"id":"2411.00365","title":"ROSS: RObust decentralized Stochastic learning based on Shapley values","created":"2024-11-01","cited_by_count":1,"area":null},{"id":"2501.19082","title":"A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration","created":"2025-01-31","cited_by_count":1,"area":null},{"id":"2606.09154","title":"Improved Convergence Analysis of Topology Dependence in Decentralized SGD","created":"2026-06-08","cited_by_count":1,"area":null},{"id":"2108.02517","title":"Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks","created":"2021-08-05","cited_by_count":0,"area":null},{"id":"2201.12488","title":"Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions","created":"2022-01-29","cited_by_count":0,"area":null},{"id":"2207.10046","title":"Adaptive Step-Size Methods for Compressed SGD","created":"2022-07-20","cited_by_count":0,"area":null},{"id":"2210.03444","title":"Depersonalized Federated Learning: Tackling Statistical Heterogeneity by Alternating Stochastic Gradient Descent","created":"2022-10-07","cited_by_count":0,"area":null},{"id":"2210.16181","title":"Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings","created":"2022-10-28","cited_by_count":0,"area":null},{"id":"2303.00179","title":"A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data","created":"2023-03-01","cited_by_count":0,"area":null},{"id":"2307.13430","title":"Achieving Linear Speedup in Decentralized Stochastic Compositional Minimax Optimization","created":"2023-07-25","cited_by_count":0,"area":null},{"id":"2310.15890","title":"Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data","created":"2023-10-24","cited_by_count":0,"area":null},{"id":"2405.13961","title":"SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data","created":"2024-05-22","cited_by_count":0,"area":null},{"id":"2504.09792","title":"A Tale of Two Learning Algorithms: Multiple Stream Random Walk and Asynchronous Gossip","created":"2025-04-14","cited_by_count":0,"area":null},{"id":"2602.02899","title":"Decentralized SGD with Controlled Disagreement Finds Flatter Minima","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.19116","title":"Event-Triggered Gossip for Distributed Learning","created":"2026-02-22","cited_by_count":0,"area":null},{"id":"2606.03209","title":"DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2606.04399","title":"DPDL: Towards Differential Privacy Preservation in Decentralized Stochastic Learning on Non-IID Data","created":"2026-06-03","cited_by_count":0,"area":null}],"next_cursor":null}