local updates

Data Heterogeneity and Forgotten Labels in Split Federated Learning AAAI 2026 Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays AAAI 2026 Efficient Distributed Optimization under Heavy-Tailed Noise ICML 2025 Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates ICML 2024 Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NeurIPS 2024 Recovering Labels from Local Updates in Federated Learning ICML 2024 FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NeurIPS 2022 Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022 Asynchronous Decentralized SGD with Quantized and Local Updates NeurIPS 2021 Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021 Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives AISTATS 2019 Distributed Primal-Dual Optimization for Non-uniformly Distributed Data IJCAI 2018 Local Rules for Global MAP: When Do They Work ? NeurIPS 2009