On January 1st, the international H2020 project FeatureCloud has finally been kicked off. DSS member Richard Röttger participates as a work-package leader in the project which is totally funded with more than 4.5 Million Euro, distributed over participants from Germany, Netherlands, Austria and Romania. FeatureCloud aims to implement and promote privacy-by-design machine learning solutions enabling the machine learning of sensitive, distributed data without having the data ever leaving the safe harbor of storage.
The digital revolution, in particular big data and artificial intelligence (AI) offer new opportunities to transform healthcare. However, it also harbors risks to the safety of sensitive clinical data stored in critical healthcare ICT infrastructure. In particular, data exchange over the internet is perceived insurmountable, posing a roadblock hampering big data based medical innovations.
With FeatureCloud, we chair a pan-European transformative AI development project, which implements a software toolkit for substantially reducing cyber risks to healthcare infrastructure by employing the world-wide first privacy-by-architecture approach, which has two key characteristics: (1) no sensitive data is sent through any communication channels, and (2) data is not stored in one central point of attack.