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

Alissa BrauneckLouisa SchmalhorstMohammad Mahdi Kazemi MajdabadiMohammad BakhtiariLinus VölkerJan BaumbachLinda BaumbachGabriele Buchholtz
Published in: Journal of medical Internet research (2023)
Combining FL with SMPC and DP is necessary to fulfill the legal data protection requirements (GDPR) in medical research dealing with personal data. Even though some technical and legal challenges remain, for example, the possibility of successful attacks on the system, combining FL with SMPC and DP creates enough security to satisfy the legal requirements of the GDPR. This combination thereby provides an attractive technical solution for health institutions willing to collaborate without exposing their data to risk. From a legal perspective, the combination provides enough built-in security measures to satisfy data protection requirements, and from a technical perspective, the combination provides secure systems with comparable performance with centralized machine learning applications.
Keyphrases
  • big data
  • machine learning
  • electronic health record
  • healthcare
  • artificial intelligence
  • mental health
  • risk assessment
  • data analysis
  • health information
  • global health