Federated machine learning in data-protection-compliant research

Alissa Brauneck; Louisa Schmalhorst; Mohammad Mahdi Kazemi Majdabadi; Mohammad Bakhtiari; Uwe Völker; Christina Caroline Saak; Jan Baumbach; Linda Baumbach; Gabriele Buchholtz

doi:10.1038/s42256-022-00601-5

Federated machine learning in data-protection-compliant research

Alissa Brauneck
Louisa Schmalhorst
Mohammad Mahdi Kazemi Majdabadi
Mohammad Bakhtiari
Uwe Völker
Christina Caroline Saak
Jan Baumbach
Linda Baumbach (Shared last author)
Gabriele Buchholtz (Shared last author)

Related Research units

Gesundheitsökonomie und Versorgungsforschung

Abstract

To fully leverage big data, they need to be shared across institutions in a manner compliant with privacy considerations and the EU General Data Protection Regulation (GDPR). Federated machine learning is a promising option.

Bibliographical data

Original language	English
ISSN	2522-5839
DOIs	https://doi.org/10.1038/s42256-022-00601-5
Publication status	Published - 25.01.2023