Proximal and Federated Random Reshuffling

12 February 2021

Papers citing "Proximal and Federated Random Reshuffling"

7 / 7 papers shown

Title
Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints Halyun Jeong Deanna Needell 16 1 0 20 Apr 2023
Federated Optimization Algorithms with Random Reshuffling and Gradient Compression Abdurakhmon Sadiev Grigory Malinovsky Eduard A. Gorbunov Igor Sokolov Ahmed Khaled Konstantin Burlachenko Peter Richtárik FedML 16 21 0 14 Jun 2022
Federated Random Reshuffling with Compression and Variance Reduction Grigory Malinovsky Peter Richtárik FedML 27 10 0 08 May 2022
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization Trang H. Tran K. Scheinberg Lam M. Nguyen 40 11 0 07 Feb 2022
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization Xia Jiang Xianlin Zeng Jian Sun Jie Chen Lihua Xie 18 6 0 06 Nov 2021
FedNL: Making Newton-Type Methods Applicable to Federated Learning M. Safaryan Rustem Islamov Xun Qian Peter Richtárik FedML 33 77 0 05 Jun 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,199 0 16 Aug 2016