High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers

25 July 2023

Papers citing "High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers"

7 / 7 papers shown

Title
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 23 0 0 09 Aug 2024
Byzantine-resilient Federated Learning With Adaptivity to Data Heterogeneity Shiyuan Zuo Xingrun Yan Rongfei Fan Han Hu Hangguan Shan Tony Q. S. Quek FedML AAML 31 6 0 20 Mar 2024
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning Puning Zhao Fei Yu Zhiguo Wan FedML 18 13 0 24 Aug 2023
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao D. Song Michael I. Jordan FedML 91 30 0 24 May 2022
Robust Estimation for Nonparametric Families via Generative Adversarial Networks Banghua Zhu Jiantao Jiao Michael I. Jordan GAN 16 3 0 02 Feb 2022
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 186 427 0 04 Mar 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,014 0 29 Nov 2018