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"

12 / 12 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 43 0 0 12 Jan 2025
Securing Federated Learning against Backdoor Threats with Foundation Model Integration Xiaohuan Bi Xi Li 52 1 0 23 Oct 2024
Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities Zikai Zhang Suman Rath Jiaohao Xu Tingsong Xiao 48 1 0 16 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 36 0 0 10 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 44 4 0 02 Sep 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh Jiayu Chen Gugan Thoppe Vaneet Aggarwal FedML 64 1 0 15 Mar 2024
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment Xingrong Dong Zhaoxian Wu Qing Ling Zhi Tian AAML 43 9 0 16 Jul 2023
Network-Level Adversaries in Federated Learning Giorgio Severi Matthew Jagielski Gokberk Yar Yuxuan Wang Alina Oprea Cristina Nita-Rotaru FedML 22 17 0 27 Aug 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 117 611 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 183 355 0 07 Dec 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 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