DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization

13 October 2017

Papers citing "DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization"

10 / 10 papers shown

Title
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach Colin Dirren Mattia Bianchi Panagiotis D. Grontas John Lygeros Florian Dorfler 41 0 0 18 Oct 2024
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization Kaiwen Zhou Anthony Man-Cho So James Cheng 32 1 0 30 Sep 2021
L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method Bugra Can Saeed Soori M. Dehnavi Mert Gurbuzbalaban 50 2 0 20 Aug 2021
Stability and Generalization for Randomized Coordinate Descent Puyu Wang Liang Wu Yunwen Lei 27 7 0 17 Aug 2021
Differential Network Analysis: A Statistical Perspective Ali Shojaie 48 48 0 09 Mar 2020
Neural ODEs as the Deep Limit of ResNets with constant weights B. Avelin K. Nystrom ODL 40 31 0 28 Jun 2019
Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums Hadrien Hendrikx Francis R. Bach Laurent Massoulié FedML 21 26 0 28 Jan 2019
POLO: a POLicy-based Optimization library Arda Aytekin Martin Biel M. Johansson 25 3 0 08 Oct 2018
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity S. Du Wei Hu 68 120 0 05 Feb 2018
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014