Randomized Kaczmarz in Adversarial Distributed Setting-Reference-Cited by-同舟云学术

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Randomized Kaczmarz in Adversarial Distributed Setting

Published:2024-06-19 Issue:3 Volume:46 Page:B354-B376
ISSN:1064-8275
Container-title:SIAM Journal on Scientific Computing
language:en
Short-container-title:SIAM J. Sci. Comput.

Author:

Huang Longxiu¹,Li Xia²^ORCID,Needell Deanna³^ORCID

Affiliation:

1. Department of Computational Mathematics, Science and Engineering and Department of Mathematics, Michigan State University, East Lansing, MI 48824 USA.

2. Corresponding author. Microsoft Corporation, Redmond, WA 98052-6399 USA.

3. Department of Mathematics, University of California at Los Angeles, Los Angeles, CA 90095 USA.

Funder

AMS Simons

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference27 articles.

1. The Relaxation Method for Linear Inequalities

2. On partially randomized extended Kaczmarz method for solving large sparse overdetermined inconsistent linear systems

3. On Greedy Randomized Augmented Kaczmarz Method for Solving Large Sparse Inconsistent Linear Systems

4. Median-Truncated Gradient Descent: A Robust and Scalable Nonconvex Approach for Signal Estimation

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