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Securing Federated Learning: A Covert Communication-based Approach

Securing Federated Learning: A Covert Communication-based Approach

5 October 2021
Yuan-ai Xie
Jiawen Kang
Dusit Niyato
Nguyen Thi Thanh Van
Nguyen Cong Luong
Zhixin Liu
Han Yu
    FedML
ArXivPDFHTML

Papers citing "Securing Federated Learning: A Covert Communication-based Approach"

3 / 3 papers shown
Title
Data-Agnostic Model Poisoning against Federated Learning: A Graph
  Autoencoder Approach
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach
Kai Li
Jingjing Zheng
Xinnan Yuan
W. Ni
Ozgur B. Akan
H. Vincent Poor
AAML
8
15
0
30 Nov 2023
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics
  in Industrial Metaverse
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse
Shenglai Zeng
Zonghang Li
Hongfang Yu
Zhihao Zhang
Long Luo
Bo-wen Li
Dusit Niyato
19
42
0
07 Nov 2022
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
169
351
0
07 Dec 2020
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