Byzantine-robust Federated Learning through Collaborative Malicious
Gradient Filtering

Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering

13 September 2021

Linqi Song

Papers citing "Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering"

7 / 7 papers shown

Title
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Yongming Fan Rui Zhu Zihao Wang Chenghong Wang Haixu Tang Ye Dong Hyunghoon Cho Lucila Ohno-Machado 34 0 0 12 Jan 2025
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 26 0 0 10 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 27 4 0 02 Sep 2024
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment Xingrong Dong Zhaoxian Wu Qing Ling Zhi Tian AAML 19 9 0 16 Jul 2023
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 102 595 0 27 Dec 2020
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 169 351 0 07 Dec 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 186 427 0 04 Mar 2020