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

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.
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Coordinator

TECHNISCHE UNIVERSITAET MUENCHEN

Address

Arcisstrasse 21
80333 Muenchen

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 350 000

Participants (8)

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PHILIPPS UNIVERSITAET MARBURG

Germany

EU Contribution

€ 500 000

MEDIZINISCHE UNIVERSITAT GRAZ

Austria

EU Contribution

€ 510 000

SYDDANSK UNIVERSITET

Denmark

EU Contribution

€ 523 000

SBA RESEARCH GEMEINNUTZIGE GMBH

Austria

EU Contribution

€ 500 000

UNIVERSITEIT MAASTRICHT

Netherlands

EU Contribution

€ 280 000

Concentris Research Management GmbH

Germany

EU Contribution

€ 355 000

RESEARCH INSTITUTE AG & CO KG

Austria

EU Contribution

€ 175 000

GNOME DESIGN SRL

Romania

EU Contribution

€ 453 000

Project information

Grant agreement ID: 826078

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    31 December 2023

Funded under:

H2020-EU.3.1.5.1.

  • Overall budget:

    € 4 646 000

  • EU contribution

    € 4 646 000

Coordinated by:

TECHNISCHE UNIVERSITAET MUENCHEN

Germany