DSAG: A Mixed Synchronous-Asynchronous Iterative Method for Straggler-Resilient Learning-Reference-Cited by-同舟云学术

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DSAG: A Mixed Synchronous-Asynchronous Iterative Method for Straggler-Resilient Learning

Published:2023-02 Issue:2 Volume:71 Page:808-822
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Severinson Albin¹^ORCID,Rosnes Eirik¹^ORCID,Rouayheb Salim El²,Amat Alexandre Graell i¹^ORCID

Affiliation:

1. Simula UiB, Bergen, Norway

2. Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA

Funder

NSF

Swedish Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/26/10045341/9973335-aam.pdf

Reference49 articles.

1. A Droplet Approach Based on Raptor Codes for Distributed Computing With Straggling Servers

2. Block-Diagonal and LT Codes for Distributed Computing With Straggling Servers

3. Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding

4. Polynomial codes: An optimal design for high-dimensional coded matrix multiplication;yu;Proc Neural Inf Process Syst (NIPS),2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Straggler-Resilient Differentially Private Decentralized Learning;IEEE Journal on Selected Areas in Information Theory;2024

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