Privacy Aware and Privacy Preserving Distributed and Robust Machine Learning for Medical Applications
Machine learning can lead to great advancements with respect to digital services and applications in the field of medical sector, the training process based on real medical patient data is blocked by the fact that uncontrolled access to and exposure of such assets is not allowed by data protection legislation. The EU-funded PAROMA-MED project aims to develop novel technologies, tools, services and architectures for patients, health professionals, data scientists and health domain businesses so that they will be able to interact in the context of data and ML federations according to legal constraints and with complete respect to data owners’ rights from privacy protection to fine grained governance, without performance and functionality penalties of ML/AI workflows and applications.
Publication: Machine Learning & knowledge extraction
A new publication from the project PAROMA-MED is published by the partners Thales/IMT on When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection, published in […]
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Press Release PAROMA-MED
On 2nd of Oct Press release from the project PAROMA-MED was released and it provided an overview on the Project´s goal and progress. The project has entered its second year […]
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Plenary meeting PAROMA-MED
From 4-5 July 2023, PAROMA-MED consortium came together in Vienna (Austria) for the Plenary meeting which was organized by our partners from 6GHI. The plenary was organized in hybrid mode. […]
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Plenary meeting PAROMA-MED
Project PAROMA-MED plenary meeting took place on 4th & 5th May 2023 in Genova. It was organized and hosted by Ericsson at their premise in hybrid mode. This plenary meeting […]
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PAROMA-MED at Digital Health Event in Treviso
On 23rd Feb Project coordinator Alessandro Bassi, EURESCOM presented project PAROMA-MED – Privacy Aware and Privacy Preserving Distributed and Robust Machine Learning for Medical Applications at the event digital health, […]
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PAROMA-MED concept and planned approach presented at IEEE Future Networks World Forum 2022
On 12 October 2022, PAROMA-MED concept and planned approach was presented during IEEE Future Networks World Forum in the “S6: Symposium on Security for 5G and Future Networks” in the […]
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