Privacy Aware and Privacy Preserving Distributed and Robust Machine Learning for Medical Applications

Project Information

PAROMA-MED

Grant agreement ID: 101070222

DOI

10.3030/101070222

Project closed

EC signature date 22 June 2022

Start date 1 July 2022

End date 30 June 2025

Funded under

• Civil Security for Society

Total cost

€ 4 280 497,50

EU contribution

€ 4 280 497,50

Coordinated by

EURESCOM-EUROPEAN INSTITUTE FOR RESEARCH AND STRATEGIC STUDIES IN TELECOMMUNICATIONS GMBH
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (2)

Federated machine learning through edge ready architectures with privacy preservation as a service

Author(s): Anastasius Gavras; Konstantinos Koutsopoulos; Stefan Covaci; Benjamin Ertl; Spyridon Tompros; Antoine Simon; Gouenou Coatrieux; Katarzyna Kapista
Published in: 2022 IEEE Future Networks World Forum (FNWF), 2023, ISBN 978-1-6654-6250-1
Publisher: IEEE
DOI: 10.1109/FNWF55208.2022.00067

Federated vs. centralized learning for medical images classification and segmentation

Author(s): Irina Rakotoarisedy, Adam Fragkiadakis, Pascal Haigron, Antoine Simon
Published in: Medical Imaging 2025: Computer-Aided Diagnosis, 2025
Publisher: SPIE
DOI: 10.1117/12.3043130

Book chapters (2)

Chapter 2: Architecture and design choices for federated learning in modern digital healthcare systems

Author(s): Konstantinos A. Koutsopoulos, Christoph Thümmler, Angelica Avila Castillo, Alice Abend, Stefan Covaci, Benjamin Ertl, Giannis Ledakis, Stéphane Lorin, Vincent Thouvenot, Sahar Haddad, Gouenou Coatrieux, Reda Bellafqira, Alessandro Bassi
Published in: 2024, ISBN 9780443138966
Publisher: Academic Press, Elsevier
DOI: 10.5281/ZENODO.12665692

Chapter 4: Recent Advances in federated learning for digital healthcare systems

Author(s): Pooja Mohnani, Christoph Thümmler, Angelica Avila Castillo, Rasha Tolba, Alessandro Bassi, Antoine Simon, Anastasius Gavras, Orazio Toscano, Pascal Haigron
Published in: 2024, ISBN 9780443138966
Publisher: Academia Press, Elsevier
DOI: 10.5281/ZENODO.12666190

Peer reviewed articles (1)

When Federated Learning Meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection

Author(s): Mohammed Lansari; Vincent Thouvenot; Katarzyna Kapusta; Gouenou Coatrieux; Reda Bellafqira; Olivier Bettan
Published in: Machine Learning & knowledge extraction, Issue 5/4, 2023, ISSN 2504-4990
Publisher: MDPI
DOI: 10.3390/make5040070

Intellectual Property Rights

Patent (1)

PATH COMPUTATION IN A COMMUNICATION NETWORK

Application/Publication number: 20 22050969
Date: 2022-10-24
Applicant(s): ERICSSON TELECOMUNICAZIONI SPA