Challenges and Approaches for Mitigating Byzantine Attacks in Federated
Learning

Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning

29 December 2021

Papers citing "Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning"

14 / 14 papers shown

Title
Approximate Agreement Algorithms for Byzantine Collaborative Learning Tijana Milentijević Mélanie Cambus Darya Melnyk Stefan Schmid FedML 47 0 0 02 Apr 2025
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 18 2 0 26 Sep 2024
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
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 24 1 0 01 Jun 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 35 1 0 31 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 29 0 0 24 May 2024
MISA: Unveiling the Vulnerabilities in Split Federated Learning Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Minghui Li Leo Yu Zhang Hai Jin 6 3 0 18 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 25 19 0 27 Nov 2023
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning Wei Wan Shengshan Hu Minghui Li Jianrong Lu Longling Zhang Leo Yu Zhang Hai Jin AAML FedML 25 20 0 07 Aug 2023
A Framework for Incentivized Collaborative Learning Xinran Wang Qi Le Ahmad Faraz Khan Jie Ding A. Anwar FedML 33 4 0 26 May 2023
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection Edoardo Gabrielli Dimitri Belli Vittorio Miori Gabriele Tolomei AAML 13 4 0 29 Mar 2023
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications Ali Raza Shujun Li K. Tran L. Koehl Kim Duc Tran AAML 25 3 0 18 Jul 2022
Edge Security: Challenges and Issues Xin Jin Charalampos Katsis Fan Sang Jiahao Sun A. Kundu Ramana Rao Kompella 39 8 0 14 Jun 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 104 610 0 27 Dec 2020