Secure Distributed Optimization Under Gradient Attacks-Reference-Cited by-同舟云学术

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Secure Distributed Optimization Under Gradient Attacks

Published:2023 Issue: Volume:71 Page:1802-1816
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Yu Shuhua¹^ORCID,Kar Soummya¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA

Funder

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/10040758/10129855.pdf?arnumber=10129855

Reference68 articles.

1. Secure distributed training at scale;gorbunov;Proc Int Conf Mach Learn,0

2. A little is enough: Circumventing defenses for distributed learning;baruch;Proc Adv Neural Inf Process Syst,0

3. The Byzantine Generals Problem

4. Asynchronous byzantine machine learning (the case of SGD);damaskinos;Proc Int Conf Mach Learn,0

5. Byzantine-Resilient Multiagent Optimization

Cited by 2 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. Learning Dynamics of Low-Precision Clipped SGD with Momentum;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment;IEEE Transactions on Signal Processing;2024

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