Artificial Intelligence for the European Open Science Cloud

Información del proyecto

AI4EOSC

Identificador del acuerdo de subvención: 101058593

DOI 10.3030/101058593

Fecha de la firma de la CE 11 Mayo 2022

Fecha de inicio 1 Septiembre 2022

Fecha de finalización 31 Agosto 2025

Financiado con arreglo a

• Research infrastructures

Coste total € 4 997 125,00

Aportación de la UE € 4 997 125,00

Coordinado por

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Spain

Resultado final

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

Publicaciones

Conference proceedings (1)

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

Autores: Sáinz-Pardo Díaz, Judith; López García, Álvaro
Publicado en: IEEE International Conference in Cyber Security and Resilience 2023, 2023, ISSN 2473-2001
Editor: IEEE
DOI: 10.48550/arXiv.2305.07415

Peer reviewed articles (5)

Secure Multi-Party Computation for Magnetic Resonance Imaging Classification

Autores: Giang Nguyen, Oleksandr Lytvyn
Publicado en: Procedia Computer Science, 2023, ISSN 1877-0509
Editor: Elsevier B.V.
DOI: 10.1016/j.procs.2023.03.006

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

Autores: Caballer, Miguel; Moltó, Germán; Calatrava, Amanda; Blanquer, Ignacio
Publicado en: Journal of Grid Computing, 2023, ISSN 1572-9184
Editor: Springer Nature B.V.
DOI: 10.1007/s10723-023-09686-7

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

Autores: Judith Sáinz-Pardo Díaz, Álvaro López García
Publicado en: Scientific Data, 2022, ISSN 2052-4463
Editor: Springer Nature
DOI: 10.1038/s41597-022-01894-2

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

Autores: Giang Nguyen, Binh Minh Nguyen; Trung Tran; Thieu Nguyen; Giang Nguyen
Publicado en: nternational Journal of Computational Intelligence Systems, 2022, ISSN 1875-6883
Editor: Springer Nature
DOI: 10.1007/s44196-022-00156-8

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

Autores: Sáinz-Pardo Díaz, Judith; López García, Álvaro
Publicado en: Neurocomputing, Edición 518, 2023, ISSN 1872-8286
Editor: Elsevier
DOI: 10.1016/j.neucom.2022.11.011