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CORDIS

Collaborative edge-cLoud continuum and Embedded AI for a Visionary industry of thE futuRe

Rezultaty

Design and preliminary implementation of Middleware for Enabling Edge-AI

This deliverable will report on the design and preliminary implementation of the (i) security solutions for trustworthy edge computing and networking, (ii) graph generation and orchestration through AI-techniques; (iii) semantic representation and smart allocation solutions, (iv) automated orchestration/maintenance technology, and (v) monitoring and telemetry infrastructure. In addition, it will provide the indicators that show how much progress has been achieved with regard to the completion of the activities the limitations, as well as the potential changes in the plans and the corrective actions taken (if needed) to compensate for the deviations.

Final CLEVER requirements, specifications, and detailed use case definition

Report on the technical and architectural requirements and system functional specifications (related to Task T2.1) and on the specification of AI solutions for use cases (related to Task T2.2). Furthermore, this deliverable will report on the use case definition, including motivations, reference scenario, expected progresses beyond state of art, specific requirements and KPIs (in-line with Project KPIs), and execution plan with per-partner contributions (related to T3.3)

Dissemination, Communication, and Standardization at M12

This report highlights the dissemination and communication efforts and outcome of activities during the first year of the project. In addition, it lies down the standardization plans for CLEVER.

Publikacje

Comparative analysis of machine learning algorithms for the classification of underwater marine debris

Autorzy: B. Jalil, L. Maggiani and L. Valcarenghi
Opublikowane w: 2023
Wydawca: IEEE
DOI: 10.1109/MetroSea58055.2023.10317314

Adaptive Retraining of AI/ML Model for Beyond 5G Networks: A Predictive Approach

Autorzy: V. Gudepu, V. R. Chintapalli, P. Castoldi, L. Valcarenghi, B. R. Tamma and K. Kondepu
Opublikowane w: 2023
Wydawca: IEEE
DOI: 10.1109/NetSoft57336.2023.10175451

Photonic-accelerated AI for cybersecurity in sustainable 6G networks

Autorzy: E. Paolini, L. Valcarenghi, L. Maggiani and N. Andriolli
Opublikowane w: 2023
Wydawca: IEEE
DOI: 10.1109/EuCNC/6GSummit58263.2023.10188264

Scalable User-Centric Distributed Massive MIMO Systems with Limited Processing Capacity

Autorzy: M. M. M. Freitas et al.
Opublikowane w: 2023
Wydawca: IEEE
DOI: 10.1109/ICC45041.2023.10279694

A Cooperative Energy Saving Scheme for NG-PON2-Based 5G X-Haul

Autorzy: L. Valcarenghi, A. Marotta, C. Centofanti, F. Graziosi and K. Kondepu
Opublikowane w: 2023
Wydawca: IEEE
DOI: 10.1109/PSC57974.2023.10297278

A Flexible Forecasting Platform Enabling Zero Touch Networking and Digital Twinning

Autorzy: L. Valcarenghi, P. Castoldi, A. Sgambelluri, E. Paolini and A. Pacini
Opublikowane w: 2023
Wydawca: IEEE
DOI: 10.1109/ICTON59386.2023.10207209

IEEE Access

Autorzy: E. Paolini, L. Valcarenghi, L. Maggiani and N. Andriolli
Opublikowane w: IEEE Access, 2023, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2023.3325721.

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