Trustworthy Efficient AI for Cloud-Edge Computing

Información del proyecto

MANOLO

Identificador del acuerdo de subvención: 101135782

DOI

10.3030/101135782

Fecha de la firma de la CE 23 Octubre 2023

Fecha de inicio 1 Enero 2024

Fecha de finalización 31 Diciembre 2026

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 8 605 772,50

Aportación de la UE

€ 8 605 772,50

Coordinado por

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Ireland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (10)

Data Inspection and Generation v.1

Report on the data infrastructure and preparation for training and testing

Data Management Plan v.2

Procedures set for data collection, processing, monitoring, dissemination, and ethics compliance

MANOLO Architecture, and Benchmarking framework v.2

High-level system architecture and benchmarking framework designs

Trustworthy Efficient AI for the Cloud-edge Deep Dive

Detailed mapping of Human-centred Needs and Requirements

Dissemination & Communication Plan & Activities v.2

Dissemination and Communication planning and outcomes.

MANOLO Architecture, and Benchmarking framework v.1

High-level system architecture and benchmarking framework designs

Use case designs and deployment plans

Detail plans for the preparation, deployment and assessment of the MANOLO use cases

Trustworthy Efficiency-Performance Assessment v.1

Report on the MANOLO assessment framework

Data Management Plan v.1

Procedures set for data collection, processing, monitoring, dissemination, and ethics compliance

Dissemination & Communication Plan & Activities v.1

Dissemination and Communication planning and outcomes.

Other (1)

Cloud-edge resources, infrastructure, and AI models mapping v.1

Report on requirements of the hyper distributed training model, and parameters abstracted from the cloud-edge system infrastructure

Publicaciones

Conference proceedings (11)

Virtual worlds, real risks: exploring user safety in the metaverse under the Digital Services Act

Autores: Noémie Krack, Jean De Meyere
Publicado en: International Congress Towards a Reponsible Development of the Metaverse, 2024
Editor: Zenodo
DOI: 10.5281/ZENODO.13944299

On the Reliability of Artificial Intelligence Systems

Autores: Konstantopoulos, Stasinos
Publicado en: Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024
Editor: Association of Computing Machinery
DOI: 10.5281/ZENODO.7733680

Towards Smart Microfarming in an Urban Computing Continuum

Autores: Marla Grunewald, Mounir Bensalem, Jasenka Dizdarević, Admela Jukan
Publicado en: 2024 IEEE Latin-American Conference on Communications (LATINCOM), 2025, ISSN 2689-7563
Editor: IEEE
DOI: 10.1109/LATINCOM62985.2024.10770673

PETRA: Parallel End-to-end Training with Reversible Architectures

Autores: Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Publicado en: ICLR 2025 International Conference on Learning Representations, 2025
Editor: openreview.net
DOI: 10.48550/ARXIV.2406.02052

Human-Aware Design for Transferring Knowledge During Human-AI Co-Learning

Autores: Koutrintzes, Dimitrios; Spatharis, Christos; Dagioglou, Maria
Publicado en: 27th European Conference on Artificial Intelligence, 2024, ISSN 1613-0073
Editor: CEUR
DOI: 10.5281/ZENODO.14772017

Lecture Notes in Computer Science

Autores: Alexandros Nousias, Maria Dagioglou, Georgios Petasis
Publicado en: Lecture Notes in Computer Science, Value Engineering in Artificial Intelligence, 2025, ISSN 0302-9743
Editor: Springer Verlag
DOI: 10.1007/978-3-031-85463-7_15

Comparing Prior and Learned Time Representations in Transformer Models of Timeseries

Autores: Natalia Koliou; Tatiana Boura; Stasinos Konstantopoulos; Georgios Meramveliotakis; George Kosmadakis
Publicado en: Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024
Editor: Association for Computing Machinery
DOI: 10.48550/ARXIV.2411.12476

Effective ML Model Versioning in Edge Networks

Autores: Fin Gentzen, Mounir Bensalem, Admela Jukan
Publicado en: 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025
Editor: IEEE
DOI: 10.1109/IWCMC65282.2025.11059571

Growth strategies for arbitrary DAG neural architectures

Autores: Stella Douka, Manon Verbockhaven, Théo Rudkiewicz, Stéphane Rivaud, François P. Landes, Sylvain Chevallier, Guillaume Charpiat
Publicado en: ESANN 2025 - 33th European Symposium on Artificial Neural Networks European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2025
Editor: i6doc.com
DOI: 10.48550/ARXIV.2501.12690

$$ Xpression $$: A Unifying Metric to Optimize Compression and Explainability Robustness of AI Models

Autores: Eric Arazo, Hristo Stoev, Cristian Bosch, Andrés L. Suárez-Cetrulo, Ricardo Simón-Carbajo
Publicado en: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024, ISSN 1865-0937
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63787-2_19

Explainable Artificial Intelligence

Publicado en: Communications in Computer and Information Science, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63787-2

Other (1)

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts

Autores: spis, M., Cajas Ordónez, S. A., Suárez-Cetrulo, A. L., and Simón Carbajo, R.
Publicado en: arXiv e-prints, 2025
Editor: arXiv.org
DOI: 10.48550/ARXIV.2507.18464