signSGD with Majority Vote is Communication Efficient And Fault Tolerant

11 October 2018

Papers citing "signSGD with Majority Vote is Communication Efficient And Fault Tolerant"

9 / 9 papers shown

Title
Breaking the Communication-Privacy-Accuracy Tradeoff with $f$ -Differential Privacy Richeng Jin Z. Su C. Zhong Zhaoyang Zhang Tony Q. S. Quek H. Dai FedML 21 2 0 19 Feb 2023
Privacy Assessment of Federated Learning using Private Personalized Layers T. Jourdan A. Boutet Carole Frindel FedML 39 7 0 15 Jun 2021
DP-SIGNSGD: When Efficiency Meets Privacy and Robustness Lingjuan Lyu FedML AAML 25 19 0 11 May 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 180 355 0 07 Dec 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 21 0 0 26 Aug 2020
Resilience in Collaborative Optimization: Redundant and Independent Cost Functions Nirupam Gupta Nitin H. Vaidya 22 18 0 21 Mar 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
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 16 1,329 0 07 Mar 2019
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication Felix Sattler Simon Wiedemann K. Müller Wojciech Samek MQ 11 210 0 22 May 2018