Data protection by design in AI? The case of federated learning

S. Rossello, R. Díaz Morales, L. Muñoz-González, 'Data Protection by design in AI? The case of federated learning', 2021, Computerrecht: tijdschrift voor informatica en recht, 1-11

12 Pages Posted: 8 Jul 2021

See all articles by Rossello Stephanie

Rossello Stephanie

Center for IT and IP Law (Faculty of Law), KU Leuven; Open University of the Netherlands

Date Written: May 30, 2021

Abstract

This article investigates some of the data protection implications of an emerging privacy preserving machine learning technique, i.e. federated machine learning. First, it shortly describes how this technique works and focuses on some of the main security threats it faces. Second, it presents some of the ways in which this technique can facilitate compliance with certain principles of the General Data Protection Regulation as well as some of the challenges it may pose under the latter.

Keywords: artificial intelligence, federated learning, data protection by design, GDPR

Suggested Citation

Stephanie, Rossello, Data protection by design in AI? The case of federated learning (May 30, 2021). S. Rossello, R. Díaz Morales, L. Muñoz-González, 'Data Protection by design in AI? The case of federated learning', 2021, Computerrecht: tijdschrift voor informatica en recht, 1-11, Available at SSRN: https://ssrn.com/abstract=3879613

Rossello Stephanie (Contact Author)

Center for IT and IP Law (Faculty of Law), KU Leuven ( email )

Oude Markt 13
Leuven, Vlaams-Brabant 3000
Belgium

Open University of the Netherlands

P.O. Box 2960
Heerlen 6401DL
Netherlands

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