DETOX: A Redundancy-based Framework for Faster and More Robust Gradient
Aggregation

DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation

29 July 2019

Shashank Rajput

Zachary B. Charles

Dimitris Papailiopoulos

Papers citing "DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation"

17 / 67 papers shown

Title
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui Arsany Guirguis L. Hoang Sébastien Rouault FedML 26 64 0 03 Aug 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 32 590 0 09 Jul 2020
Byzantine-Resilient High-Dimensional Federated Learning Deepesh Data Suhas Diggavi FedML AAML 13 41 0 22 Jun 2020
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing Sai Praneeth Karimireddy Lie He Martin Jaggi FedML OOD 29 139 0 16 Jun 2020
Better scalability under potentially heavy-tailed gradients Matthew J. Holland 6 1 0 01 Jun 2020
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data Deepesh Data Suhas Diggavi FedML 23 37 0 16 May 2020
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang Wu-Jun Li FedML 29 5 0 02 Mar 2020
Distributed Momentum for Byzantine-resilient Learning El-Mahdi El-Mhamdi R. Guerraoui Sébastien Rouault FedML 11 22 0 28 Feb 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 22 63 0 25 Feb 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 25 260 0 12 Feb 2020
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks Zhaoxian Wu Qing Ling Tianyi Chen G. Giannakis FedML AAML 32 181 0 29 Dec 2019
Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning Nirupam Gupta Nitin H. Vaidya FedML 38 8 0 19 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 74 6,091 0 10 Dec 2019
Fast Machine Learning with Byzantine Workers and Servers El-Mahdi El-Mhamdi R. Guerraoui Arsany Guirguis 12 3 0 18 Nov 2019
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks Jy-yong Sohn Dong-Jun Han Beongjun Choi Jaekyun Moon FedML 19 36 0 14 Oct 2019
BRIDGE: Byzantine-resilient Decentralized Gradient Descent Cheng Fang Zhixiong Yang W. Bajwa 11 95 0 21 Aug 2019
Data Encoding for Byzantine-Resilient Distributed Optimization Deepesh Data Linqi Song Suhas Diggavi FedML 11 33 0 05 Jul 2019