SOURCE-LINKED INTELLIGENCE
Privacy Aware and Privacy Preserving Distributed and Robust Machine Learning for Medical Applications
Privacy Aware and Privacy Preserving Distributed and Robust Machine Learning for Medical Applications PAROMA-MED will develop, validate and evaluate a platform - based hybrid-cloud delivery framework for privacy- and security- assured services and applications in federative cross-border environments. To this purpose, the project will develop new architectures, technologies, tools and services to support: - automatic attestation of federation partners - privacy- and security - by-design, integrating standard compliance and performance / QoS requirements into a policy framework - consumers with their rights for opt-in / opt-out consent, portability and right to be forgotten requests, as well as transparency in access to their private-data. - federative Identity and Access Management, based on Zero Trust principles, continuous risk assessment and on confidentiality, integrity and authenticity insurance - privacy-preserving and trusted data - storag
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4280497.5
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.