Asynchronous Byzantine Machine Learning (the case of SGD)

22 February 2018

Papers citing "Asynchronous Byzantine Machine Learning (the case of SGD)"

8 / 8 papers shown

Title
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent Shashank Reddy Chirra K. Nadimpalli Shrisha Rao 22 0 0 16 Jan 2023
Secure Distributed Optimization Under Gradient Attacks Shuhua Yu S. Kar 24 13 0 28 Oct 2022
Linear Scalarization for Byzantine-robust learning on non-IID data Latifa Errami El Houcine Bergou AAML 16 0 0 15 Oct 2022
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 8 63 0 03 Aug 2020
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training Qing Ye Yuhao Zhou Mingjia Shi Yanan Sun Jiancheng Lv 14 11 0 23 Jul 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction Georgios Damaskinos R. Guerraoui Anne-Marie Kermarrec Vlad Nitu Rhicheek Patra Francois Taiani 13 54 0 12 Jun 2020
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning Dong Yin Yudong Chen K. Ramchandran Peter L. Bartlett FedML 26 97 0 14 Jun 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016