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FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation
9 May 2023
M. Xhemrishi
Johan Ostman
Antonia Wachter-Zeh
Alexandre Graell i Amat
FedML
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Papers citing
"FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation"
6 / 6 papers shown
Title
Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation
Kun Yang
Neena Imam
164
0
0
22 May 2025
FedSV: Byzantine-Robust Federated Learning via Shapley Value
Khaoula Otmani
Rachid Elazouzi
Vincent Labatut
FedML
AAML
194
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
74
0
0
07 Oct 2024
LoByITFL: Low Communication Secure and Private Federated Learning
Yue Xia
Christoph Hofmeister
Maximilian Egger
Rawad Bitar
71
2
0
29 May 2024
Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises
Yue Xia
Christoph Hofmeister
Maximilian Egger
Rawad Bitar
76
6
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
74
1
0
02 May 2024
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