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MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving
  Quantized Federated Learning

MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning

19 July 2022
Hua Ma
Qun Li
Yifeng Zheng
Zhi Zhang
Xiaoning Liu
Yan Gao
S. Al-Sarawi
Derek Abbott
    FedML
ArXiv (abs)PDFHTMLGithub

Papers citing "MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning"

2 / 2 papers shown
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving
  Federated Learning with Byzantine Users
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users
Y. Rahulamathavan
Charuka Herath
Xiaolan Liu
S. Lambotharan
Carsten Maple
402
19
0
08 Jun 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li
Chandra Thapa
Lawrence Ong
Yifeng Zheng
Hua Ma
S. Çamtepe
Anmin Fu
Yan Gao
FedML
309
15
0
03 Feb 2023
1
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