conftrace_

decentralized optimization

113 papers

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Co-occurring keywords

distributed learning (563) stochastic optimization (1060) stochastic gradient descent (1091) gradient tracking (25) variance reduction (523) communication complexity (99) nonconvex optimization (316) distributed optimization (275) stochastic gradient (296) communication efficiency (297)

Papers

Decentralized Riemannian Gradient Descent on the Stiefel Manifold ICML 2021
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction ICML 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training ICCV 2021
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning NIPS 2021
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) NIPS 2021
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning AAAI 2021
A Faster Decentralized Algorithm for Nonconvex Minimax Problems NIPS 2021
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization NIPS 2020
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking NIPS 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020
Decentralized Accelerated Proximal Gradient Descent NIPS 2020
Dual-Free Stochastic Decentralized Optimization with Variance Reduction NIPS 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates ICML 2020
Decentralized gradient methods: does topology matter? AISTATS 2020
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking ICML 2020
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method NIPS 2020
Decentralized Optimization with Edge Sampling IJCAI 2019
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums NIPS 2019
Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives AISTATS 2019
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019
Robust and Communication-Efficient Collaborative Learning NIPS 2019