Artificial Intelligence for the European Open Science Cloud

Project Information

AI4EOSC

Grant agreement ID: 101058593

DOI 10.3030/101058593

EC signature date 11 May 2022

Start date 1 September 2022

End date 31 August 2025

Funded under

• Research infrastructures

Total cost € 4 997 125,00

EU contribution € 4 997 125,00

Coordinated by

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Spain

Deliverables

Documents, reports (9)

Communication, training, outreach, dissemination and collaboration/liaison and exploitation plans

This document will contain the plans for all dissemination communication collaboration and collaborationliaison activities exploitation including the basic metrics to measure the viability of the presented plan

WP4 Implementation plan

This document describes the implementation plan for the first implementation and integration phase

Initial plan for Quality Assurance and data FAIRness

Definition and plan of the Software Services and Applications Quality Assurance and the automatic assessment of data FAIRness Plan of infrastructure for the services Software and application development

Data Management Plan

Will define the project DMP as expected in the GA

Updated Communication, training, outreach, dissemination and collaboration/ liaison and exploitation plans and results

This document will contain an update and review of D21

Implementation plan

This document describes the implementation plan for the first implementation and integration phase

State of the art landscaping and initial platform requirements specification

This document provides an overview of the most relevant technologies available together with the key requirements of the AI platform and the codesign approach employed

Initial high-level architecture specification

This document provides the first architecture specification of the AI platform

Analysis of user applications, collection of requirements

This deliverable can be combined with D31 State of the art landscaping and initial platform requirements and provides a prioritised list of user requirements and the implementation roadmap

Publications

Conference proceedings (1)

Comparison of machine learning models applied on anonymized data with different techniques

Author(s): Sáinz-Pardo Díaz, Judith; López García, Álvaro
Published in: IEEE International Conference in Cyber Security and Resilience 2023, 2023, ISSN 2473-2001
Publisher: IEEE
DOI: 10.48550/arXiv.2305.07415

Peer reviewed articles (5)

Secure Multi-Party Computation for Magnetic Resonance Imaging Classification

Author(s): Giang Nguyen, Oleksandr Lytvyn
Published in: Procedia Computer Science, 2023, ISSN 1877-0509
Publisher: Elsevier B.V.
DOI: 10.1016/j.procs.2023.03.006

Infrastructure Manager: A TOSCA-Based Orchestrator for the Computing Continuum

Author(s): Caballer, Miguel; Moltó, Germán; Calatrava, Amanda; Blanquer, Ignacio
Published in: Journal of Grid Computing, 2023, ISSN 1572-9184
Publisher: Springer Nature B.V.
DOI: 10.1007/s10723-023-09686-7

A Python library to check the level of anonymity of a dataset

Author(s): Judith Sáinz-Pardo Díaz, Álvaro López García
Published in: Scientific Data, 2022, ISSN 2052-4463
Publisher: Springer Nature
DOI: 10.1038/s41597-022-01894-2

An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks

Author(s): Giang Nguyen, Binh Minh Nguyen; Trung Tran; Thieu Nguyen; Giang Nguyen
Published in: nternational Journal of Computational Intelligence Systems, 2022, ISSN 1875-6883
Publisher: Springer Nature
DOI: 10.1007/s44196-022-00156-8

Study of the performance and scalability of federated learning for medical imaging with intermittent clients

Author(s): Sáinz-Pardo Díaz, Judith; López García, Álvaro
Published in: Neurocomputing, Issue 518, 2023, ISSN 1872-8286
Publisher: Elsevier
DOI: 10.1016/j.neucom.2022.11.011