HNN3.0

Project cooperationUpdated on 23 January 2026

Trustworthy federated AI

Senior researcher at Inria

Villeneuve d'Ascq, France

About

We have expertise in among others:

  • Trustworthy AI (privacy-preserving, secure, frugal, fair ...), especially machine learning

  • Federated AI, e.g., combining data from multiple data owners (hospitals, research centers) in a privacy / confidentiality -friendly way

  • Regulatory aspects of AI, e.g., measuring qualities of AI systems.

  • Learning personalized models,

  • Fine-tuning models to local contexts, e.g., adapting to local patient populations or local policies

We are hence interested in discussing with consortia needing such expertise or background.

Topic

  • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
  • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
  • DESTINATION 6: HORIZON-HLTH-2026-01-IND-03: Regulatory science to support translational development of patient-centred health technologies

Organisation

Inria

University

Lille, France

Similar opportunities