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Fast and Robust Distributed Learning in High Dimension
v1v2 (latest)

Fast and Robust Distributed Learning in High Dimension

5 May 2019
El-Mahdi El-Mhamdi
R. Guerraoui
Sébastien Rouault
    OODFedML
ArXiv (abs)PDFHTML

Papers citing "Fast and Robust Distributed Learning in High Dimension"

5 / 5 papers shown
Title
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated
  Learning against Byzantine Attackers
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers
Xin-Yue Fan
Yue Wang
Yan Huo
Zhi Tian
FedML
96
27
0
18 Oct 2021
Learning from History for Byzantine Robust Optimization
Learning from History for Byzantine Robust Optimization
Sai Praneeth Karimireddy
Lie He
Martin Jaggi
FedMLAAML
219
198
0
18 Dec 2020
Election Coding for Distributed Learning: Protecting SignSGD against
  Byzantine Attacks
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
Jy-yong Sohn
Dong-Jun Han
Beongjun Choi
Jaekyun Moon
FedML
135
38
0
14 Oct 2019
Adversary-resilient Distributed and Decentralized Statistical Inference
  and Machine Learning: An Overview of Recent Advances Under the Byzantine
  Threat Model
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model
Zhixiong Yang
Arpita Gang
W. Bajwa
OODAAML
120
17
0
23 Aug 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient
  Aggregation
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Shashank Rajput
Hongyi Wang
Zachary B. Charles
Dimitris Papailiopoulos
FedML
182
139
0
29 Jul 2019
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