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FADE: Enabling Federated Adversarial Training on Heterogeneous
  Resource-Constrained Edge Devices

FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices

8 September 2022
Minxue Tang
Jianyi Zhang
Mingyuan Ma
Louis DiValentin
Aolin Ding
Amin Hassanzadeh
H. Li
Yiran Chen
    FedML
ArXivPDFHTML

Papers citing "FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices"

2 / 2 papers shown
Title
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 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