decentralized optimization

Decentralized gradient methods: does topology matter? AISTATS 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020 Dual-Free Stochastic Decentralized Optimization with Variance Reduction NeurIPS 2020 GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020 IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method NeurIPS 2020 Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking ICML 2020 Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization NeurIPS 2020 Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking NeurIPS 2020 Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives AISTATS 2019 A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization NeurIPS 2019 An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums NeurIPS 2019 Decentralized Dictionary Learning Over Time-Varying Digraphs JMLR 2019 Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019 Decentralized Optimization with Edge Sampling IJCAI 2019 Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019 Robust and Communication-Efficient Collaborative Learning NeurIPS 2019 Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning NeurIPS 2019 A Decentralised Approach to Intersection Traffic Management IJCAI 2018 Asynchronous Decentralized Parallel Stochastic Gradient Descent ICML 2018 Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters NeurIPS 2018 Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings ICML 2018 Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization NeurIPS 2018 Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication ICML 2018 Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NeurIPS 2017 Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017