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A Maturity Model for the Enforcement of PETs in Federated Settings
Hammam Abu Attieh1, Mehmed Halilovic1, Marius de Arruda Botelho Herr2
1Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Health Data Science, Charitéplatz 1, 10117 Berlin, Germany.
Abstract:
We explore how privacy can be made both usable and enforceable within FLAME, a federated learning platform developed in the German PrivateAIM project. We propose a Privacy-Enhancing Technology (PET) Integration Maturity Model with three levels: Analysis-Based, Library-Based, and System-Based. These levels describe how responsibility for applying PETs shifts from analysts to the platform. Moreover, higher maturity levels enhance auditability, reduce reliance on code reviews, and support consistent privacy enforcement across sites.
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