Dual-Free Stochastic Decentralized Optimization with Variance Reduction

Dual-Free Stochastic Decentralized Optimization with Variance Reduction

25 June 2020

Hadrien Hendrikx

Francis R. Bach

Laurent Massoulié

Papers citing "Dual-Free Stochastic Decentralized Optimization with Variance Reduction"

11 / 11 papers shown

Title
Byzantine-Robust Gossip: Insights from a Dual Approach Renaud Gaucher Hadrien Hendrikx Aymeric Dieuleveut AAML 38 0 0 06 May 2024
Decentralized Sum-of-Nonconvex Optimization Zhuanghua Liu K. H. Low 21 0 0 04 Feb 2024
Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization Firooz Shahriari-Mehr Ashkan Panahi 17 1 0 06 Oct 2022
A principled framework for the design and analysis of token algorithms Hadrien Hendrikx FedML 29 13 0 30 May 2022
Decentralized Stochastic Variance Reduced Extragradient Method Luo Luo Haishan Ye 27 7 0 01 Feb 2022
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I Jiaojiao Zhang Huikang Liu Anthony Man-Cho So Qing Ling 24 14 0 19 Jan 2022
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize Ryan DÓrazio Nicolas Loizou I. Laradji Ioannis Mitliagkas 34 30 0 28 Oct 2021
Acceleration in Distributed Optimization under Similarity Helena Lofstrom G. Scutari Tianyue Cao Alexander Gasnikov 27 26 0 24 Oct 2021
Decentralized Composite Optimization with Compression Yao Li Xiaorui Liu Jiliang Tang Ming Yan Kun Yuan 27 9 0 10 Aug 2021
Decentralized Constrained Optimization: Double Averaging and Gradient Projection Firooz Shahriari-Mehr David Bosch Ashkan Panahi 16 8 0 21 Jun 2021
PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction Haishan Ye Wei Xiong Tong Zhang 16 16 0 30 Dec 2020