Artificial Intelligence for the European Open Science Cloud

Leistungen

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

Veröffentlichungen

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

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

Secure Multi-Party Computation for Magnetic Resonance Imaging Classification

Autoren: Giang Nguyen, Oleksandr Lytvyn
Veröffentlicht in: Procedia Computer Science, 2023, ISSN 1877-0509
Herausgeber: Elsevier B.V.
DOI: 10.1016/j.procs.2023.03.006

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

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

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

Autoren: Judith Sáinz-Pardo Díaz, Álvaro López García
Veröffentlicht in: Scientific Data, 2022, ISSN 2052-4463
Herausgeber: Springer Nature
DOI: 10.1038/s41597-022-01894-2

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

Autoren: Giang Nguyen, Binh Minh Nguyen; Trung Tran; Thieu Nguyen; Giang Nguyen
Veröffentlicht in: nternational Journal of Computational Intelligence Systems, 2022, ISSN 1875-6883
Herausgeber: Springer Nature
DOI: 10.1007/s44196-022-00156-8

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

Autoren: Sáinz-Pardo Díaz, Judith; López García, Álvaro
Veröffentlicht in: Neurocomputing, Ausgabe 518, 2023, ISSN 1872-8286
Herausgeber: Elsevier
DOI: 10.1016/j.neucom.2022.11.011

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Veröffentlichungen

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