FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation

9 May 2023

Papers citing "FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation"

8 / 8 papers shown

Title
FedSV: Byzantine-Robust Federated Learning via Shapley Value Khaoula Otmani Rachid Elazouzi Vincent Labatut FedML AAML 87 2 0 24 Feb 2025
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 24 0 0 07 Oct 2024
LoByITFL: Low Communication Secure and Private Federated Learning Yue Xia Christoph Hofmeister Maximilian Egger Rawad Bitar 27 0 0 29 May 2024
Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises Yue Xia Christoph Hofmeister Maximilian Egger Rawad Bitar 26 4 0 14 May 2024
Poisoning Attacks on Federated Learning for Autonomous Driving Sonakshi Garg Hugo Jönsson Gustav Kalander Axel Nilsson Bhhaanu Pirange Viktor Valadi Johan Östman AAML 19 1 0 02 May 2024
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 64 164 0 29 Sep 2021
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation Ranwa Al Mallah David López Godwin Badu-Marfo Bilal Farooq AAML 39 39 0 24 Jan 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 108 611 0 27 Dec 2020