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Financement de l’UE (4 380 335 €) : L’apprentissage automatique pour augmenter les connaissances partagées dans des scénarios fédérés de préservation de la vie privée Hor 01/12/2018 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
L’apprentissage automatique pour augmenter les connaissances partagées dans des scénarios fédérés de préservation de la vie privée
The massive increase in data collected and stored worldwide calls for new ways to preserve privacy while still allowing data sharing among multiple data owners. Today, the lack of trusted and secure environments for data sharing inhibits data economy while legality, privacy, trustworthiness, data value and confidentiality hamper the free flow of data. By the end of the project, MUSKETEER aims to create a validated, federated, privacy-preserving machine learning platform tested on industrial data that is inter-operable, scalable and efficient enough to be deployed in real use cases. MUSKETEER aims to alleviate data sharing barriers by providing secure, scalable and privacy-preserving analytics over decentralized datasets using machine learning. Data can continue to be stored in different locations with different privacy constraints, but shared securely. The MUSKETEER cross-domain platform will validate progress in the industrial scenarios of smart manufacturing and health. MUSKETEER strives to (1) create machine learning models over a variety of privacy-preserving scenarios, (2) ensure security and robustness against external and internal threats, (3) provide a standardized and extendable architecture, (4) demonstrate and validate in two different industrial scenarios and (5) enhance data economy by boosting sharing across domains. The MUSKETEER impact crosses industrial, scientific, economic and strategic domains. Real-world industry requirements and outcomes are validated in an operational setting. Federated machine learning approaches for data sharing are innovated. Data economy is fostered by creating a rewarding model capable of fairly monetizing datasets according to the real data value. Finally, Europe is positioned as a leader in innovative data sharing technologies.
| Biotronics 3D Ltd. | 295 000 € |
| Comau S.p.A. | 155 000 € |
| Diagnostikon Kai Therapeftikon Kentron Athinon Ygeia Anonymos Etaireia | 127 500 € |
| Engineering - Ingegneria Informatica S.p.A. | 407 500 € |
| FCA Information Technology, Excellence AND Methods S.p.A. | 217 500 € |
| IBM Ireland Ltd. | 830 900 € |
| Imperial College of Science Technology and Medicine | 675 185 € |
| International Data Spaces e. V. | 551 250 € |
| Katholieke Universiteit Leuven | 260 500 € |
| Tree Technology SA | 462 500 € |
| Universidad Carlos III de Madrid | 397 500 € |
https://cordis.europa.eu/project/id/824988
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.