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Federated Learning for Privacy-Preserving Open Innovation Future on
  Digital Health

Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health

24 August 2021
Guodong Long
Tao Shen
Yue Tan
Leah Gerrard
Allison Clarke
Jing Jiang
    FedML
ArXivPDFHTML

Papers citing "Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health"

4 / 4 papers shown
Title
On the Convergence of Clustered Federated Learning
On the Convergence of Clustered Federated Learning
Ma Jie
Guodong Long
Tianyi Zhou
Jing Jiang
Chengqi Zhang
FedML
33
46
0
13 Feb 2022
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
37
76
0
25 Feb 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,705
0
18 Mar 2020
1