Skip to main content

Privacy preserving federated machine learning and blockchaining for reduced cyber risks in a world of distributed healthcare

Objective

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. FeatureCloud’s transformative security-by-design concept will minimize the cyber-crime potential and enable first secure cross-border collaborative data mining endeavors. FeatureCloud will be implemented into 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 communicated through any communication channels, and (2) data is not stored in one central point of attack. Federated machine learning (for privacy-preserving data mining) integrated with blockchain technology (for immutability and management of patient rights) will safely apply next-generation AI technology for medical purposes. Importantly, patients will be given effective means of revoking previously given consent at any time. Our ground-breaking new cloud-AI infrastructure only exchanges learned model representations which are anonymous by default. Collectively, our highly interdisciplinary consortium from IT to medicine covers all aspects of the value chain: assessment of cyber risks, legal considerations and international policies, development of federated AI technology coupled to blockchaining, app store and user interface design, implementation as certifiable prognostic medical devices, evaluation and translation into clinical practice, commercial exploitation, as well as dissemination and patient trust maximization. FeatureCloud’s goals are bold, necessary, achievable, and paving the way for a socially agreeable big data era of the Medicine 4.0 age.

Field of science

  • /natural sciences/computer and information sciences/data science/data exchange
  • /natural sciences/computer and information sciences/artificial intelligence
  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning
  • /natural sciences/computer and information sciences/data science/data mining

Call for proposal

H2020-SC1-FA-DTS-2018-1
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

TECHNISCHE UNIVERSITAET MUENCHEN
Address
Arcisstrasse 21
80333 Muenchen
Germany
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 350 000

Participants (8)

PHILIPPS UNIVERSITAET MARBURG
Germany
EU contribution
€ 500 000
Address
Biegenstrasse 10
35037 Marburg
Activity type
Higher or Secondary Education Establishments
MEDIZINISCHE UNIVERSITAT GRAZ
Austria
EU contribution
€ 510 000
Address
Auenbruggerplatz 2
8036 Graz
Activity type
Higher or Secondary Education Establishments
SYDDANSK UNIVERSITET
Denmark
EU contribution
€ 523 000
Address
Campusvej 55
5230 Odense M
Activity type
Higher or Secondary Education Establishments
SBA RESEARCH GEMEINNUTZIGE GMBH
Austria
EU contribution
€ 500 000
Address
Floragasse 7, 5 Og
1040 Wien
Activity type
Research Organisations
UNIVERSITEIT MAASTRICHT
Netherlands
EU contribution
€ 280 000
Address
Minderbroedersberg 4-6
6200 MD Maastricht
Activity type
Higher or Secondary Education Establishments
Concentris Research Management GmbH
Germany
EU contribution
€ 355 000
Address
Ludwigstr. 4
D-82256 Fürstenfeldbruck
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
RESEARCH INSTITUTE AG & CO KG
Austria
EU contribution
€ 175 000
Address
Amundsenstrasse 9
1170 Vienna
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
GNOME DESIGN SRL
Romania
EU contribution
€ 453 000
Address
Str Dako 2A
520014 Sfantu Gheorghe
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)