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

Informazioni relative al progetto

SECURED

ID dell’accordo di sovvenzione: 101095717

DOI

10.3030/101095717

Data della firma CE 23 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2025

Finanziato da

• Health

Costo totale

€ 6 999 723,75

Contributo UE

€ 6 999 723,25

Coordinato da

UNIVERSITEIT VAN AMSTERDAM
Netherlands

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Peer reviewed articles (4)

NeuroDots: From Single-Target to Brain-

Autori: Dirk De Ridder, Muhammad Ali Siddiqi, Justin Dauwels, Wouter A. Serdijn, Christos Strydis
Pubblicato in: Neuromodulation: Technology at the Neural Interface, Numero '27/4, 2024, ISSN 1525-1403
Editore: Elsevier
DOI: 10.1016/j.neurom.2024.01.003

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

Autori: R. Miedema and C. Strydis
Pubblicato in: Frontiers in Neuroinformatics, Numero 18:1330875, 2024, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2024.1330875

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

Autori: Alex Olar, Teodora Tyler, Paulina Hoppa, Erzsébet Frank, István Csabai, István Adriján, Péter Pollner
Pubblicato in: Scientific Data, 2024, ISSN 2052-4463
Editore: Nature
DOI: 10.1038/s41597-024-02908-x

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

Autori: Lennart P. L. Landsmeer, Max C. W. Engelen, Rene Miedema, Christos Strydis,
Pubblicato in: Neurocomputing, 2024, ISSN 1872-8286
Editore: Elsevier
DOI: 10.1016/j.neucom.2024.127953

Conference proceedings (10)

Memristor-Based Lightweight Encryption

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

A Multithread AES Accelerator for Cyber-Physical Systems

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

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

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

HealthMesh: An Architectural Framework for Federated Healthcare Data Management

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

Client-specific Property Inference against Secure Aggregation in Federated Learning

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

Beyond Parameter Averaging in Model Aggregation

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

Towards Accelerating the Adoption of Federated Learning for Heterogeneous Data

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

A Lightweight Architecture for Real-Time Neuronal-Spike Classification

Autori: Siddiqi, M. A., Vrijenhoek, D., Landsmeer, L. P. L., van der Kleij, J., Gebregiorgis, A., Romano, V., Bishnoi, R., Hamdioui, S., & Strydis, C.
Pubblicato in: CF '24: Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024
Editore: 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

Autori: Francesco Regazzoni; Paolo Palmieri; Apostolos P Fournaris
Pubblicato in: 2023, ISSN 2836-7936
Editore: IEEE
DOI: 10.1109/IWASI58316.2023.10164581

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

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

Other (3)

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

Autori: Maja Nisevic, Daniela Spajic
Pubblicato in: CiTiP Blog, 2024
Editore: KU Leuven CiTiP

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

Autori: Daniela Spajic
Pubblicato in: CiTiP Blog, 2023
Editore: KU Leuven CiTiP

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

Autori: Maja Nisevic, Daniela Spajic
Pubblicato in: CiTiP Blog, 2024
Editore: KU Leuven CiTiP