- Title Trustworthy Multi-Site Privacy Enhancing Technologies
- Consortium Arteevo technologies LTD; Universidad de Vigo ; Institut National de recherche en informatique et automatique; Instituto romagnolo per lo studio del tumori dino amadori - IRST SRL; Technovative solutions LTD; Time.Lex; Centre Hospitalier Universitaire de Liege; Commisariat a l energie atomique et aux ; Energies alternatives; Gradiant
- Funds Horizon Europe (HE)
- Opening / Ending September 2022 / August 2025
The goal of TRUMPET project is to research and develop novel privacy enhancement methods for Federated Learning, and to deliver a highly scalable Federated AI service platform for researchers, that will enable AI-powered studies of siloed, multi-site, cross-domain, cross-border European datasets with privacy guarantees that exceed the requirements of GDPR. The generic TRUMPET platform will be piloted, demonstrated and validated in the specific use case of European cancer hospitals, allowing researchers and policymakers to extract AI-driven insights from previously inaccessible crossborder, cross-organization cancer data, while ensuring the patients’ privacy. The strong privacy protection accorded by the platform will be verified through the engagement of external experts for independent privacy leakage and re-identification testing. A secondary goal of the project is to research, develop and promote with EU data protection authorities a novel metric and tool for the certification of GDPR compliance of Federated Learning implementations.