ASAGA: Asynchronous Parallel SAGA

ASAGA: Asynchronous Parallel SAGA

15 June 2016

Fabian Pedregosa

Simon Lacoste-Julien

Papers citing "ASAGA: Asynchronous Parallel SAGA"

19 / 19 papers shown

Title
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework Siyuan Yu Wei Chen H. V. Poor 32 0 0 17 Jun 2024
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization Kaiwen Zhou Anthony Man-Cho So James Cheng 19 1 0 30 Sep 2021
Federated Learning with Buffered Asynchronous Aggregation John Nguyen Kshitiz Malik Hongyuan Zhan Ashkan Yousefpour Michael G. Rabbat Mani Malek Dzmitry Huba FedML 33 288 0 11 Jun 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices Max Ryabinin Eduard A. Gorbunov Vsevolod Plokhotnyuk Gennady Pekhimenko 35 32 0 04 Mar 2021
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 32 0 0 26 Aug 2020
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning Bin Gu An Xu Zhouyuan Huo Cheng Deng Heng-Chiao Huang FedML 38 27 0 14 Aug 2020
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization Chaobing Song Yong Jiang Yi Ma 53 23 0 18 Jun 2020
A Unifying Framework for Variance Reduction Algorithms for Finding Zeroes of Monotone Operators Xun Zhang W. Haskell Z. Ye 9 3 0 22 Jun 2019
Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network Yushan Gao A. Biguri T. Blumensath 23 3 0 28 Mar 2019
Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums Hadrien Hendrikx Francis R. Bach Laurent Massoulié FedML 8 26 0 28 Jan 2019
POLO: a POLicy-based Optimization library Arda Aytekin Martin Biel M. Johansson 20 3 0 08 Oct 2018
Anytime Stochastic Gradient Descent: A Time to Hear from all the Workers Nuwan S. Ferdinand S. Draper 13 19 0 06 Oct 2018
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates Kaiwen Zhou Fanhua Shang James Cheng 14 74 0 28 Jun 2018
Double Quantization for Communication-Efficient Distributed Optimization Yue Yu Jiaxiang Wu Longbo Huang MQ 19 57 0 25 May 2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 35 61 0 17 May 2018
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD Sanghamitra Dutta Gauri Joshi Soumyadip Ghosh Parijat Dube P. Nagpurkar 22 193 0 03 Mar 2018
Improved asynchronous parallel optimization analysis for stochastic incremental methods Rémi Leblond Fabian Pedregosa Simon Lacoste-Julien 16 70 0 11 Jan 2018
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 51 1,876 0 08 Oct 2016
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates Zhimin Peng Yangyang Xu Ming Yan W. Yin 14 257 0 08 Jun 2015