Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning

10 June 2022

Papers citing "Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning"

6 / 6 papers shown

Title
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 31 0 0 10 Sep 2024
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 31 67 0 24 May 2022
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering Jian Xu Shao-Lun Huang Linqi Song Tian-Shing Lan FedML AAML 29 42 0 13 Sep 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 106 611 0 27 Dec 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 162 564 0 27 Jul 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 191 433 0 04 Mar 2020