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EU funding (€4,380,335): Machine learning to augment shared knowledge in federated privacy-preserving scenarios Hor 1 Dec 2018 EU Research and Innovation programme "Horizon"
Overview
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Machine learning to augment shared knowledge in federated privacy-preserving scenarios
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.
Funded Companies:
| Company name | Funding amount |
| 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 |
Source: https://cordis.europa.eu/project/id/824988
The filing refers to a past date, and does not necessarily reflect the current state.