Trustworthy Efficient AI for Cloud-Edge Computing

Projektinformationen

MANOLO

ID Finanzhilfevereinbarung: 101135782

DOI

10.3030/101135782

EK-Unterschriftsdatum 23 Oktober 2023

Startdatum 1 Januar 2024

Enddatum 31 Dezember 2026

Finanziert unter

• Digital, Industry and Space

Gesamtkosten

€ 8 605 772,50

EU-Beitrag

€ 8 605 772,50

Koordiniert durch

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Ireland

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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

Veröffentlichungen

Conference proceedings (11)

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

Autoren: Noémie Krack, Jean De Meyere
Veröffentlicht in: International Congress Towards a Reponsible Development of the Metaverse, 2024
Herausgeber: Zenodo
DOI: 10.5281/ZENODO.13944299

On the Reliability of Artificial Intelligence Systems

Autoren: Konstantopoulos, Stasinos
Veröffentlicht in: Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024
Herausgeber: Association of Computing Machinery
DOI: 10.5281/ZENODO.7733680

Towards Smart Microfarming in an Urban Computing Continuum

Autoren: Marla Grunewald, Mounir Bensalem, Jasenka Dizdarević, Admela Jukan
Veröffentlicht in: 2024 IEEE Latin-American Conference on Communications (LATINCOM), 2025, ISSN 2689-7563
Herausgeber: IEEE
DOI: 10.1109/LATINCOM62985.2024.10770673

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

Autoren: Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Veröffentlicht in: ICLR 2025 International Conference on Learning Representations, 2025
Herausgeber: openreview.net
DOI: 10.48550/ARXIV.2406.02052

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

Autoren: Koutrintzes, Dimitrios; Spatharis, Christos; Dagioglou, Maria
Veröffentlicht in: 27th European Conference on Artificial Intelligence, 2024, ISSN 1613-0073
Herausgeber: CEUR
DOI: 10.5281/ZENODO.14772017

Lecture Notes in Computer Science

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

Comparing Prior and Learned Time Representations in Transformer Models of Timeseries

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

Effective ML Model Versioning in Edge Networks

Autoren: Fin Gentzen, Mounir Bensalem, Admela Jukan
Veröffentlicht in: 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025
Herausgeber: IEEE
DOI: 10.1109/IWCMC65282.2025.11059571

Growth strategies for arbitrary DAG neural architectures

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

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

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

Explainable Artificial Intelligence

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

Other (1)

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts

Autoren: spis, M., Cajas Ordónez, S. A., Suárez-Cetrulo, A. L., and Simón Carbajo, R.
Veröffentlicht in: arXiv e-prints, 2025
Herausgeber: arXiv.org
DOI: 10.48550/ARXIV.2507.18464