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FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving
  Federated Learning with Byzantine Users

FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users

8 June 2023
Y. Rahulamathavan
Charuka Herath
Xiaolan Liu
S. Lambotharan
Carsten Maple
ArXivPDFHTML

Papers citing "FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users"

3 / 3 papers shown
Title
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
Evan Gronberg
L. dÁliberti
Magnus Saebo
Aurora Hook
FedML
46
0
0
20 Jan 2025
SABLE: Secure And Byzantine robust LEarning
SABLE: Secure And Byzantine robust LEarning
Antoine Choffrut
R. Guerraoui
Rafael Pinot
Renaud Sirdey
John Stephan
Martin Zuber
AAML
26
2
0
11 Sep 2023
FLCert: Provably Secure Federated Learning against Poisoning Attacks
FLCert: Provably Secure Federated Learning against Poisoning Attacks
Xiaoyu Cao
Zaixi Zhang
Jinyuan Jia
Neil Zhenqiang Gong
FedML
OOD
75
59
0
02 Oct 2022
1