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Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense

Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense

29 May 2024
Wenjie Li
K. Fan
Jingyuan Zhang
Hui Li
Wei Yang Bryan Lim
Qiang Yang
    AAML
    FedML
ArXivPDFHTML

Papers citing "Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense"

3 / 3 papers shown
Title
Byzantine-robust Federated Learning through Collaborative Malicious
  Gradient Filtering
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
Jian Xu
Shao-Lun Huang
Linqi Song
Tian-Shing Lan
FedML
AAML
29
42
0
13 Sep 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
106
611
0
27 Dec 2020
CrypTFlow2: Practical 2-Party Secure Inference
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee
Mayank Rathee
Nishant Kumar
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
77
301
0
13 Oct 2020
1