Published on in Vol 25 (2023)
![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](https://asset.jmir.pub/assets/2dd45db87e8abce07d91341ae20151b5.png 480w,https://asset.jmir.pub/assets/2dd45db87e8abce07d91341ae20151b5.png 960w,https://asset.jmir.pub/assets/2dd45db87e8abce07d91341ae20151b5.png 1920w,https://asset.jmir.pub/assets/2dd45db87e8abce07d91341ae20151b5.png 2500w)
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