Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies
- 1. atlanTTic Research Center, Universidade de Vigo
- 2. Institut National de Recherche en Informatique et Automatique (INRIA)
- 3. Timelex
- 4. CHU de Liège
- 5. CEA - List
- 6. Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS
- 7. Technovative Solutions
- 8. Arteevo Technologies
- 9. Gradiant
Description
This paper is an overview of the EU-funded project TRUMPET (https://trumpetproject.eu/), and gives an outline of its scope and main technical aspects and objectives. In recent years, Federated Learning has emerged as a revolutionary privacy-enhancing technology. However, further research has cast a shadow of doubt on its strength for privacy protection.
The goal of TRUMPET 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, crossdomain, cross-border European datasets with privacy guarantees that follow 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 cross-border, cross-organization cancer data, while
ensuring the patients’ privacy