Shielding Federated Learning: Mitigating Byzantine Attacks with Less
Constraints

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Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints

4 October 2022

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Papers citing "Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints"

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Title
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection Wei Wan Shengshan Hu Jianrong Lu L. Zhang Hai Jin Yuanyuan He AAML 91 33 0 28 Apr 2022
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 118 660 0 16 Jul 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 118 662 0 31 Dec 2019
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 54 134 0 22 Oct 2019
Zeno++: Robust Fully Asynchronous SGD Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 64 109 0 17 Mar 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 78 2,322 0 13 Feb 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets Liping Li Canran Xu Xiangnan He Yixin Cao Tat-Seng Chua FedML 117 599 0 09 Nov 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 124 1,516 0 05 Mar 2018
Generalized Byzantine-tolerant SGD Cong Xie Oluwasanmi Koyejo Indranil Gupta AAML 73 259 0 27 Feb 2018
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 130 1,782 0 22 Aug 2017