Genuinely Distributed Byzantine Machine Learning

v1v2 (latest)

Genuinely Distributed Byzantine Machine Learning

5 May 2019

El-Mahdi El-Mhamdi

Arsany Guirguis

Lê Nguyên Hoang

Sébastien Rouault

ArXiv (abs)PDF HTML

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 70 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