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1905.03853
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Genuinely Distributed Byzantine Machine Learning
5 May 2019
El-Mahdi El-Mhamdi
R. Guerraoui
Arsany Guirguis
Lê Nguyên Hoang
Sébastien Rouault
FedML
OOD
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Papers citing
"Genuinely Distributed Byzantine Machine Learning"
10 / 10 papers shown
Title
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey
Djamila Bouhata
Hamouma Moumen
Moumen Hamouma
Ahcène Bounceur
AI4CE
104
8
0
05 May 2022
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning
Virat Shejwalkar
Amir Houmansadr
Peter Kairouz
Daniel Ramage
AAML
124
218
0
23 Aug 2021
Better scalability under potentially heavy-tailed feedback
Matthew J. Holland
52
1
0
14 Dec 2020
ByGARS: Byzantine SGD with Arbitrary Number of Attackers
Jayanth Reddy Regatti
Hao Chen
Abhishek Gupta
FedML
AAML
61
4
0
24 Jun 2020
Better scalability under potentially heavy-tailed gradients
Matthew J. Holland
49
1
0
01 Jun 2020
Distributed Momentum for Byzantine-resilient Learning
El-Mahdi El-Mhamdi
R. Guerraoui
Sébastien Rouault
FedML
58
22
0
28 Feb 2020
Fast Machine Learning with Byzantine Workers and Servers
El-Mahdi El-Mhamdi
R. Guerraoui
Arsany Guirguis
68
3
0
18 Nov 2019
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang
Zhixiong Yang
W. Bajwa
95
101
0
21 Aug 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Shashank Rajput
Hongyi Wang
Zachary B. Charles
Dimitris Papailiopoulos
FedML
116
134
0
29 Jul 2019
A Roadmap for Robust End-to-End Alignment
L. Hoang
62
1
0
04 Sep 2018
1