{"total":43,"rows":[{"id":"2104.11375","title":"Decentralized Federated Averaging","created":"2021-04-23","cited_by_count":114,"area":null},{"id":"2206.10870","title":"Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks","created":"2022-06-22","cited_by_count":32,"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":"2110.11775","title":"Federated Learning over Wireless IoT Networks with Optimized Communication and Resources","created":"2021-10-22","cited_by_count":13,"area":null},{"id":"2104.02596","title":"Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization","created":"2021-04-06","cited_by_count":11,"area":null},{"id":"2112.09579","title":"Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems","created":"2021-12-17","cited_by_count":10,"area":null},{"id":"2301.05872","title":"CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence","created":"2023-01-14","cited_by_count":9,"area":null},{"id":"2110.13113","title":"Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees","created":"2021-10-25","cited_by_count":8,"area":null},{"id":"2205.14905","title":"Confederated Learning: Federated Learning with Decentralized Edge Servers","created":"2022-05-30","cited_by_count":7,"area":null},{"id":"2306.11201","title":"Adaptive Federated Learning with Auto-Tuned Clients","created":"2023-06-19","cited_by_count":7,"area":null},{"id":"2401.12764","title":"Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving $O(1/k)$ Finite-Sample Complexity","created":"2024-01-23","cited_by_count":7,"area":null},{"id":"2503.20117","title":"Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable","created":"2025-03-25","cited_by_count":6,"area":null},{"id":"2307.10492","title":"Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior","created":"2023-07-19","cited_by_count":5,"area":null},{"id":"2404.07164","title":"PIM-Opt: Demystifying Distributed Optimization Algorithms on a Real-World Processing-In-Memory System","created":"2024-04-10","cited_by_count":5,"area":null},{"id":"2102.10080","title":"Distributed Bootstrap for Simultaneous Inference Under High Dimensionality","created":"2021-02-19","cited_by_count":4,"area":null},{"id":"2406.13936","title":"Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods","created":"2024-06-20","cited_by_count":4,"area":null},{"id":"2112.12373","title":"Decentralized Multi-Task Stochastic Optimization With Compressed Communications","created":"2021-12-23","cited_by_count":3,"area":null},{"id":"2306.10096","title":"Memory-Constrained Algorithms for Convex Optimization via Recursive Cutting-Planes","created":"2023-06-16","cited_by_count":3,"area":null},{"id":"2510.19934","title":"Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy","created":"2025-10-22","cited_by_count":3,"area":null},{"id":"2208.13154","title":"Asynchronous Training Schemes in Distributed Learning with Time Delay","created":"2022-08-28","cited_by_count":2,"area":null},{"id":"2211.04088","title":"A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming","created":"2022-11-08","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":"2309.14353","title":"Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM","created":"2023-09-21","cited_by_count":2,"area":null},{"id":"2404.02511","title":"Stochastic Constrained Decentralized Optimization for Machine Learning with Fewer Data Oracles: a Gradient Sliding Approach","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2501.17122","title":"Convergence of two-timescale gradient descent ascent dynamics: finite-dimensional and mean-field perspectives","created":"2025-01-28","cited_by_count":2,"area":null},{"id":"2107.12065","title":"Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs","created":"2021-07-26","cited_by_count":1,"area":null},{"id":"2203.11579","title":"Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography","created":"2022-03-22","cited_by_count":1,"area":null},{"id":"2205.14452","title":"Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems","created":"2022-05-28","cited_by_count":1,"area":null},{"id":"2209.10722","title":"Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles","created":"2022-09-22","cited_by_count":1,"area":null},{"id":"2404.02395","title":"Optimal Batch Allocation for Wireless Federated Learning","created":"2024-04-03","cited_by_count":1,"area":null},{"id":"2404.06720","title":"Gradient Descent is Pareto-Optimal in the Oracle Complexity and Memory Tradeoff for Feasibility Problems","created":"2024-04-10","cited_by_count":1,"area":null},{"id":"2405.18031","title":"Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2509.14488","title":"Decentralized Optimization with Topology-Independent Communication","created":"2025-09-17","cited_by_count":1,"area":null},{"id":"2601.07021","title":"Tight Analysis of Decentralized SGD: A Markov Chain Perspective","created":"2026-01-11","cited_by_count":1,"area":null},{"id":"2104.12828","title":"Multi-resource allocation for federated settings: A non-homogeneous Markov chain model","created":"2021-04-26","cited_by_count":0,"area":null},{"id":"2202.08402","title":"Federated Stochastic Gradient Descent Begets Self-Induced Momentum","created":"2022-02-17","cited_by_count":0,"area":null},{"id":"2308.04404","title":"Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review","created":"2023-08-01","cited_by_count":0,"area":null},{"id":"2309.00997","title":"Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems","created":"2023-09-02","cited_by_count":0,"area":null},{"id":"2309.02626","title":"Adaptive Consensus: A network pruning approach for decentralized optimization","created":"2023-09-06","cited_by_count":0,"area":null},{"id":"2310.06217","title":"Federated Multi-Level Optimization over Decentralized Networks","created":"2023-10-10","cited_by_count":0,"area":null},{"id":"2509.08726","title":"Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2609.33021","title":"Decentralized Optimization with Cross-Coupled Mixed Affine Constraints","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2610.05789","title":"Dimension-Free Decentralized Nonsmooth Nonconvex Stochastic Optimization","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}