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APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a
  Service

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service

17 August 2023
Zilinghan Li
Shilan He
Pranshu Chaturvedi
Trung-Hieu Hoang
Minseok Ryu
Eliu A. Huerta
Volodymyr V. Kindratenko
Jordan D. Fuhrman
Maryellen L. Giger
Ryan Chard
Kibaek Kim
Ravi K. Madduri
ArXivPDFHTML

Papers citing "APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service"

3 / 3 papers shown
Title
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Zilinghan Li
Shilan He
Ze Yang
Minseok Ryu
Kibaek Kim
Ravi K. Madduri
FedML
48
5
0
17 Sep 2024
Enabling End-to-End Secure Federated Learning in Biomedical Research on
  Heterogeneous Computing Environments with APPFLx
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx
Trung-Hieu Hoang
Jordan D. Fuhrman
Ravi K. Madduri
Miao Li
Pranshu Chaturvedi
...
Kibaek Kim
Minseok Ryu
Ryan Chard
Eliu A. Huerta
Maryellen L. Giger
24
5
0
14 Dec 2023
funcX: A Federated Function Serving Fabric for Science
funcX: A Federated Function Serving Fabric for Science
Ryan Chard
Y. Babuji
Zhuozhao Li
Tyler J. Skluzacek
A. Woodard
B. Blaiszik
Ian T. Foster
Kyle Chard
33
187
0
07 May 2020
1