Robust Distributed Optimization With Randomly Corrupted Gradients-Reference-Cited by-同舟云学术

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Robust Distributed Optimization With Randomly Corrupted Gradients

Published:2022 Issue: Volume:70 Page:3484-3498
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Turan Berkay¹^ORCID,Uribe Cesar A.²^ORCID,Wai Hoi-To³^ORCID,Alizadeh Mahnoosh¹

Affiliation:

1. Electrical and Computer Engineering Department, University of California Santa Barbara, Santa Barbara, CA, USA

2. Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA

3. Systems Engineering and Engineering Management, Chinese University of Hong Kong, CUHK, Shatin, Hong Kong

Funder

NSF

Chinese University of Hong Kong

ARPA-H Strategic Initiative Seed Fund

Sustainable Futures Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/78/9675017/9810487-aam.pdf

Reference56 articles.

1. Can gradient clipping mitigate label noise;menon;Proc Int Conf Learn Representations,0

2. Can you really backdoor federated learning;sun,2019

3. Large batch training of convolutional networks;you,2017

4. Beyond convexity: Stochastic quasi-convex optimization;hazan;Proc Adv Neural Inf Process Syst,0

5. Introductory Lectures on Convex Optimization

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