decentralized optimization

Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022 Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022 ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021 A Faster Decentralized Algorithm for Nonconvex Minimax Problems NeurIPS 2021 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021 A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! AISTATS 2021 An Improved Analysis of Gradient Tracking for Decentralized Machine Learning NeurIPS 2021 Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction ICML 2021 Asynchronous Decentralized SGD with Quantized and Local Updates NeurIPS 2021 Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) NeurIPS 2021 Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning AAAI 2021 Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization AISTATS 2021 DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training ICCV 2021 Decentralized Multi-Agent Linear Bandits with Safety Constraints AAAI 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021 Decentralized Riemannian Gradient Descent on the Stiefel Manifold ICML 2021 Linear Convergent Decentralized Optimization with Compression ICLR 2021 Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks NeurIPS 2021 Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks JMLR 2021 Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization IJCAI 2021 Ship Compute or Ship Data? Why Not Both? NSDI 2021 Stability and Generalization of Decentralized Stochastic Gradient Descent AAAI 2021 A Unified Theory of Decentralized SGD with Changing Topology and Local Updates ICML 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020 Decentralized Accelerated Proximal Gradient Descent NeurIPS 2020