Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41588, first published .
Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

Alissa Brauneck   1 , MSc ;   Louisa Schmalhorst   1 , MSc ;   Mohammad Mahdi Kazemi Majdabadi   2 , MSc ;   Mohammad Bakhtiari   2 , MSc ;   Uwe Völker   3 , Prof Dr ;   Jan Baumbach   2, 4 , Prof Dr ;   Linda Baumbach   5 * , PhD ;   Gabriele Buchholtz   1 * , Prof Dr

1 Hamburg University Faculty of Law, University of Hamburg, Hamburg, Germany

2 Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany

3 Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany

4 Computational BioMedicine lab, University of Southern Denmark, Odense, Denmark

5 Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

*these authors contributed equally

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