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CORDIS - Resultados de investigaciones de la UE
CORDIS

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

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Setup of communication and dissemination media (se abrirá en una nueva ventana)

Report about the first communication and dissemination activities, such as the public website and leaflet; it includes the project vision, objectives, activities, expected outcomes and benefits, and points of contact. Project accounts on selected social media.

1st Report and updated plan for communication, clustering, dissemination (se abrirá en una nueva ventana)

These Deliverables will list the communication, clustering, standardization, and dissemination actions implemented every year by the Project. They will update the roadmap in D5.1 in case some targets become not feasible or do not bring the expected impact. The delivery of the three reports have been scheduling according to the expected intensity of dissemination activities (likely more concentrated in the second part of the Project, when more achievements and results will be available).

Concept and Evaluation Framework - first version (se abrirá en una nueva ventana)

This report will provide the first version of the platform architecture and the related evaluation methodology (T1.2 and T1.3).

Security and Privacy Awareness - ver. 1 (se abrirá en una nueva ventana)

This report collects and presents all the security and privacy awareness concepts and models defined and developed in tasks T3.3. This document reports on the first iteration of the concepts and models defined and developed as well as a first prototype GUI for situational awareness.

Concept and Evaluation Framework - final version (se abrirá en una nueva ventana)

This document will detail the updated version of the platform architecture and the related evaluation methodology as refined through the progress of the technical work performed in other WPs (T1.2 and T1.3).

Access and Privacy Control Architecture and Models (se abrirá en una nueva ventana)

This report presents the models and the resulting architecture for access and privacy control within the PAROMA architecture. The documentation about the implementation will be part of deliverable D2.3.

Roadmap for communication, dissemination, standardization activities (se abrirá en una nueva ventana)

This report will provide an overview of the strategy and the main actions to be implemented for communication, dissemination, standardization, clustering. It will describe relevant targets for communication/dissemination, together with the appropriate means to reach them. The roadmap will be updated yearly according to the specific achievements and relevant changes in context and objectives.

Network and Interconnect Platform - ver. 1 (se abrirá en una nueva ventana)

This report collects and presents the outcomes related to the network and interconnecting platform focusing in particular about the privacy-aware Network Slices conceived, designed and implemented to assure an interconnectivity privacy level compliant with the project requirements. This report freezes the current status in the mid-lifespan of the project.

Publicaciones

Federated machine learning through edge ready architectures with privacy preservation as a service (se abrirá en una nueva ventana)

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

Chapter 2: Architecture and design choices for federated learning in modern digital healthcare systems (se abrirá en una nueva ventana)

Autores: 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
Publicado en: 2024, ISBN 9780443138966
Editor: Academic Press, Elsevier
DOI: 10.5281/ZENODO.12665692

Chapter 4: Recent Advances in federated learning for digital healthcare systems (se abrirá en una nueva ventana)

Autores: Pooja Mohnani, Christoph Thümmler, Angelica Avila Castillo, Rasha Tolba, Alessandro Bassi, Antoine Simon, Anastasius Gavras, Orazio Toscano, Pascal Haigron
Publicado en: 2024, ISBN 9780443138966
Editor: Academia Press, Elsevier
DOI: 10.5281/ZENODO.12666190

When Federated Learning Meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection (se abrirá en una nueva ventana)

Autores: Mohammed Lansari; Vincent Thouvenot; Katarzyna Kapusta; Gouenou Coatrieux; Reda Bellafqira; Olivier Bettan
Publicado en: Machine Learning & knowledge extraction, Edición 5/4, 2023, ISSN 2504-4990
Editor: MDPI
DOI: 10.3390/make5040070

Derechos de propiedad intelectual

PATH COMPUTATION IN A COMMUNICATION NETWORK

Número de solicitud/publicación: 20 22050969
Fecha: 2022-10-24
Solicitante(s): ERICSSON TELECOMUNICAZIONI SPA

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