On the convergence analysis of asynchronous SGD for solving consistent linear systems-Reference-Cited by-同舟云学术

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On the convergence analysis of asynchronous SGD for solving consistent linear systems

Published:2023-04 Issue: Volume:663 Page:1-31
ISSN:0024-3795
Container-title:Linear Algebra and its Applications
language:en
Short-container-title:Linear Algebra and its Applications

Author:

Sahu Atal Narayan^ORCID,Dutta Aritra^ORCID,Tiwari Aashutosh,Richtárik Peter^ORCID

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory

Reference52 articles.

1. Stochastic reformulations of linear systems: algorithms and convergence theory;Richtárik;SIAM J. Matrix Anal. Appl.,2020

2. GPipe: efficient training of giant neural networks using pipeline parallelism;Huang;Adv. Neural Inf. Process. Syst.,2019

3. Pegasos: primal estimated sub-gradient solver for SVM;Shalev-Shwartz,2007

4. Distributed asynchronous online learning for natural language processing;Gimpel,2010

5. Optimal distributed online prediction using mini-batches;Dekel;J. Mach. Learn. Res.,2012

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1. A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems;SIAM Journal on Matrix Analysis and Applications;2024-05-06

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