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Adversarial Client Detection via Non-parametric Subspace Monitoring in
  the Internet of Federated Things

Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things

2 October 2023
Xianjian Xie
Xiaochen Xian
Dan Li
Andi Wang
ArXivPDFHTML

Papers citing "Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things"

3 / 3 papers shown
Title
Recycling Model Updates in Federated Learning: Are Gradient Subspaces
  Low-Rank?
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
Sheikh Shams Azam
Seyyedali Hosseinalipour
Qiang Qiu
Christopher G. Brinton
FedML
26
20
0
01 Feb 2022
The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
C. Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
41
50
0
09 Nov 2021
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,032
0
29 Nov 2018
1