An Optimal Algorithm for Decentralized Finite-Sum Optimization-Reference-Cited by-同舟云学术

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An Optimal Algorithm for Decentralized Finite-Sum Optimization

Published:2021-01 Issue:4 Volume:31 Page:2753-2783
ISSN:1052-6234
Container-title:SIAM Journal on Optimization
language:en
Short-container-title:SIAM J. Optim.

Author:

Hendrikx Hadrien,Bach Francis,Massoulié Laurent

Funder

H2020 European Research Council

Institut national de recherche en informatique et en automatique

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Theoretical Computer Science,Software

Link

https://epubs.siam.org/doi/pdf/10.1137/20M134842X

Reference56 articles.

1. Katyusha: the first direct acceleration of stochastic gradient methods

2. λ1, Isoperimetric inequalities for graphs, and superconcentrators

3. A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization

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1. Push–Pull With Device Sampling;IEEE Transactions on Automatic Control;2023-12

2. A Dual Accelerated Method for a Class of Distributed Optimization Problems: From Consensus to Decentralized Policy Evaluation;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06

3. Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization;EURO Journal on Computational Optimization;2022

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