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CORDIS - EU research results
CORDIS

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

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 .

Deliverables

Publications

NeuroDots: From Single-Target to Brain- (opens in new window)

Author(s): Dirk De Ridder, Muhammad Ali Siddiqi, Justin Dauwels, Wouter A. Serdijn, Christos Strydis
Published in: Neuromodulation: Technology at the Neural Interface, Issue '27/4, 2024, ISSN 1525-1403
Publisher: Elsevier
DOI: 10.1016/j.neurom.2024.01.003

ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations (opens in new window)

Author(s): R. Miedema and C. Strydis
Published in: Frontiers in Neuroinformatics, Issue 18:1330875, 2024, ISSN 1662-5196
Publisher: Frontiers Research Foundation
DOI: 10.3389/fninf.2024.1330875

Annotated dataset for training deep learning models to detectastrocytes in human brain tissue (opens in new window)

Author(s): Alex Olar, Teodora Tyler, Paulina Hoppa, Erzsébet Frank, István Csabai, István Adriján, Péter Pollner
Published in: Scientific Data, 2024, ISSN 2052-4463
Publisher: Nature
DOI: 10.1038/s41597-024-02908-x

Tricking AI chips into Simulating the Human Brain: A Detailed Performance Analysis (opens in new window)

Author(s): Lennart P. L. Landsmeer, Max C. W. Engelen, Rene Miedema, Christos Strydis,
Published in: Neurocomputing, 2024, ISSN 1872-8286
Publisher: Elsevier
DOI: 10.1016/j.neucom.2024.127953

Memristor-Based Lightweight Encryption (opens in new window)

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

A Multithread AES Accelerator for Cyber-Physical Systems (opens in new window)

Author(s): Francesco Ratto, Luigi Raffo and Francesca Palumbo
Published in: CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023
Publisher: Association for Computing Machinery, NY
DOI: 10.1145/3587135.3592819

Dilithium Hardware-Accelerated Application Using OpenCL-Based High-Level Synthesis (opens in new window)

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

HealthMesh: An Architectural Framework for Federated Healthcare Data Management

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

Client-specific Property Inference against Secure Aggregation in Federated Learning (opens in new window)

Author(s): Raouf Kerkouche, Gergely Acs, Mario Fritz
Published in: WPES '23: Proceedings of the 22nd Workshop on Privacy in the Electronic Society, 2023
Publisher: Association for Computing Machinery, NY
DOI: 10.1145/3603216.3624964

Beyond Parameter Averaging in Model Aggregation

Author(s): Pol G Recasens, Jordi Torres, Josep Berral, Søren Hauberg, Pablo Moreno-Muñoz
Published in: International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023, 2023
Publisher: NeurIPS

Towards Accelerating the Adoption of Federated Learning for Heterogeneous Data (opens in new window)

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

A Lightweight Architecture for Real-Time Neuronal-Spike Classification (opens in new window)

Author(s): Siddiqi, M. A., Vrijenhoek, D., Landsmeer, L. P. L., van der Kleij, J., Gebregiorgis, A., Romano, V., Bishnoi, R., Hamdioui, S., & Strydis, C.
Published in: CF '24: Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024
Publisher: 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 (opens in new window)

Author(s): Francesco Regazzoni; Paolo Palmieri; Apostolos P Fournaris
Published in: 2023, ISSN 2836-7936
Publisher: IEEE
DOI: 10.1109/IWASI58316.2023.10164581

SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space (opens in new window)

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

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

Author(s): Maja Nisevic, Daniela Spajic
Published in: CiTiP Blog, 2024
Publisher: KU Leuven CiTiP

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

Author(s): Daniela Spajic
Published in: CiTiP Blog, 2023
Publisher: KU Leuven CiTiP

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

Author(s): Maja Nisevic, Daniela Spajic
Published in: CiTiP Blog, 2024
Publisher: KU Leuven CiTiP

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