Scaling Up secure Processing, Anonymization and generation of Health Data for EU cross border collaborative research and Innovation

Información del proyecto

SECURED

Identificador del acuerdo de subvención: 101095717

DOI

10.3030/101095717

Fecha de la firma de la CE 23 Noviembre 2022

Fecha de inicio 1 Enero 2023

Fecha de finalización 31 Diciembre 2025

Financiado con arreglo a

• Health

Coste total

€ 6 999 723,75

Aportación de la UE

€ 6 999 723,25

Coordinado por

UNIVERSITEIT VAN AMSTERDAM
Netherlands

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

Documents, reports (9)

Project Handbook Quality, Risk Management
Legal and ethical framework and analysis
Data Management Plan
Interim report on Data anonymization, de-anonymization and Synthetic data generation techniques, tools and services
Architecture Specifications, Analysis and Design
GDPR and Ethics Project Guidelines
Interim report on Scalable Secure Multiparty Computation, Federated Learning and Unbiased AI techniques and tools
State of the Art and initial technical requirements
Dissemination and Exploitation Plan

Websites, patent fillings, videos etc. (1)

Project Website

Publicaciones

Peer reviewed articles (4)

NeuroDots: From Single-Target to Brain-

Autores: Dirk De Ridder, Muhammad Ali Siddiqi, Justin Dauwels, Wouter A. Serdijn, Christos Strydis
Publicado en: Neuromodulation: Technology at the Neural Interface, Edición '27/4, 2024, ISSN 1525-1403
Editor: Elsevier
DOI: 10.1016/j.neurom.2024.01.003

ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations

Autores: R. Miedema and C. Strydis
Publicado en: Frontiers in Neuroinformatics, Edición 18:1330875, 2024, ISSN 1662-5196
Editor: Frontiers Research Foundation
DOI: 10.3389/fninf.2024.1330875

Annotated dataset for training deep learning models to detectastrocytes in human brain tissue

Autores: Alex Olar, Teodora Tyler, Paulina Hoppa, Erzsébet Frank, István Csabai, István Adriján, Péter Pollner
Publicado en: Scientific Data, 2024, ISSN 2052-4463
Editor: Nature
DOI: 10.1038/s41597-024-02908-x

Tricking AI chips into Simulating the Human Brain: A Detailed Performance Analysis

Autores: Lennart P. L. Landsmeer, Max C. W. Engelen, Rene Miedema, Christos Strydis,
Publicado en: Neurocomputing, 2024, ISSN 1872-8286
Editor: Elsevier
DOI: 10.1016/j.neucom.2024.127953

Conference proceedings (10)

Memristor-Based Lightweight Encryption

Autores: Siddiqi, Muhammad Ali, Jan Andrés Galvan Hernández, Anteneh Gebregiorgis, Rajendra Bishnoi, Christos Strydis, Said Hamdioui, and Mottaqiallah Taouil, 2023.
Publicado en: 26th Euromicro Conference on Digital System Design, 2024, ISSN 2771-2508
Editor: IEEE
DOI: 10.1109/DSD60849.2023.00092

A Multithread AES Accelerator for Cyber-Physical Systems

Autores: Francesco Ratto, Luigi Raffo and Francesca Palumbo
Publicado en: CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023
Editor: Association for Computing Machinery, NY
DOI: 10.1145/3587135.3592819

Dilithium Hardware-Accelerated Application Using OpenCL-Based High-Level Synthesis

Autores: Alexander Islam El-Kady, Apostolos P. Fournaris, Vassilis Paliuras
Publicado en: 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023, ISSN 1558-2434
Editor: IEEE
DOI: 10.1109/ICCAD57390.2023.10323770

HealthMesh: An Architectural Framework for Federated Healthcare Data Management

Autores: Aniol Bisquert, Achraf Hmimou, Josep Ll. Berral, Alberto Gutierrez-Torre, Oscar Romero
Publicado en: Proceedings of the 26th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2024), 2024, ISSN 1613-0073
Editor: CEUR-WS

Client-specific Property Inference against Secure Aggregation in Federated Learning

Autores: Raouf Kerkouche, Gergely Acs, Mario Fritz
Publicado en: WPES '23: Proceedings of the 22nd Workshop on Privacy in the Electronic Society, 2023
Editor: Association for Computing Machinery, NY
DOI: 10.1145/3603216.3624964

Beyond Parameter Averaging in Model Aggregation

Autores: Pol G Recasens, Jordi Torres, Josep Berral, Søren Hauberg, Pablo Moreno-Muñoz
Publicado en: International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023, 2023
Editor: NeurIPS

Towards Accelerating the Adoption of Federated Learning for Heterogeneous Data

Autores: Christos Ntokos; Nikolaos Bakalos; Dimitrios Kalogeras
Publicado en: PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023
Editor: Association for Computing Machinery, NY
DOI: 10.1145/3594806.3596568

A Lightweight Architecture for Real-Time Neuronal-Spike Classification

Autores: Siddiqi, M. A., Vrijenhoek, D., Landsmeer, L. P. L., van der Kleij, J., Gebregiorgis, A., Romano, V., Bishnoi, R., Hamdioui, S., & Strydis, C.
Publicado en: CF '24: Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024
Editor: Association for Computing Machinery, ΝΥ
DOI: 10.1145/3649153.3649186

Treating a different kind of patient: curing security weaknesses in digital health systems of the future

Autores: Francesco Regazzoni; Paolo Palmieri; Apostolos P Fournaris
Publicado en: 2023, ISSN 2836-7936
Editor: IEEE
DOI: 10.1109/IWASI58316.2023.10164581

SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space

Autores: Francesco Regazzoni, Paolo Palmieri, George Tasopoulos, et al
Publicado en: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024, ISSN 1558-1101
Editor: IEEE
DOI: 10.23919/DATE58400.2024.10546514

Other (3)

SECURED: Project updates and legal insights for the beginning of its second year (Part I)

Autores: Maja Nisevic, Daniela Spajic
Publicado en: CiTiP Blog, 2024
Editor: KU Leuven CiTiP

Anonymous vs. pseudonymous data: the CJEU reaffirms the relative approach to the concept of personal data

Autores: Daniela Spajic
Publicado en: CiTiP Blog, 2023
Editor: KU Leuven CiTiP

SECURED: Project updates and legal insights for the beginning of its second year (Part II)

Autores: Maja Nisevic, Daniela Spajic
Publicado en: CiTiP Blog, 2024
Editor: KU Leuven CiTiP