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Federated Learning with Unreliable Clients: Performance Analysis and
  Mechanism Design

Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design

10 May 2021
Chuan Ma
Jun Li
Ming Ding
Kang Wei
Wen Chen
H. Vincent Poor
    FedML
ArXivPDFHTML

Papers citing "Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design"

4 / 4 papers shown
Title
Multi-trainer Interactive Reinforcement Learning System
Multi-trainer Interactive Reinforcement Learning System
Zhao Guo
Timothy J. Norman
E. Gerding
16
2
0
14 Oct 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive
  Survey
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
31
9
0
19 Dec 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
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
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