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FedScore: A privacy-preserving framework for federated scoring system
  development

FedScore: A privacy-preserving framework for federated scoring system development

1 March 2023
Siqi Li
Yilin Ning
M. Ong
Bibhas Chakraborty
Chuan Hong
F. Xie
Han Yuan
Mingxuan Liu
Daniel M. Buckland
Yongju Chen
Nan Liu
    FedML
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Papers citing "FedScore: A privacy-preserving framework for federated scoring system development"

3 / 3 papers shown
Title
FairFML: Fair Federated Machine Learning with a Case Study on Reducing
  Gender Disparities in Cardiac Arrest Outcome Prediction
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
Siqi Li
Qiming Wu
Xin Li
Di Miao
Chuan Hong
...
Michael Hao Chen
Mengying Yan
Yilin Ning
M. Ong
Nan Liu
33
1
0
07 Oct 2024
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World
  Survival Data
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data
Siqi Li
Yuqing Shang
Ziwen Wang
Qiming Wu
Chuan Hong
Yilin Ning
Di Miao
M. Ong
Bibhas Chakraborty
Nan Liu
FedML
26
1
0
08 Mar 2024
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
1,712
0
18 Mar 2020
1