CORDIS Project
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MUSKETEER aims to create a secure and privacy-preserving platform for sharing and analyzing data using machine learning. The project focuses on enabling collaboration across industries by allowing data to remain decentralized while still being accessible for analytics.
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…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Spain, OVIEDO
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
United Kingdom, LONDON
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Italy, Roma
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Spain, Getafe (Madrid)
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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