TRUMPET: TRUstworthy Multi-site Privacy Enhancing Technologies
Introduction
Basic info:
Objective.
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 cross-
border, 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.
Partners
- Fundación Centro Tecnolóxico de Telecomunicacións de Galicia (GRAD)
- Arteevo Technologies Ltd. (AVO)
- Universidad de Vigo (UVIGO)
- Institut National de recherche en informatique et automatique (INRIA)
- Istituto Romagnolo per lo studio dei tumori dino amadori (IRST)
- Time.Lex (TLX)
- Centre Hospitalier Universitaire de Liège (CHU)
- Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
- Technovative Solutions Ltd(TVS)
INRIA contribution
INRIA's MAGNET team will contribute among others to tasks involving
AI algorithms and architectures,
Federated Learning,
Privacy platforms,
Privacy measurement and metrics,
Privacy-enhancing technologies and
Applied cryptography.
People and related projects
This is a project of the MAGNET team.
Project members include:
- PI: Jan Ramon
- 1 PhD student: to be hired
- 2 engineers: to be hired
Most of the algorithms developed by INRIA-MAGNET will be included in the TAILED open source library.
Jobs
We are looking for
For applying, please also read the general guidelines.
There are also open positions on related projects.
Project website
To be added