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CORDIS - Resultados de investigaciones de la UE
CORDIS

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

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

Testbed setup and data collection (se abrirá en una nueva ventana)

Report on the lab infrastructures and capabilities for test validation required to conduct the use cases in CLEVER. In addition, this deliverable will report on the dataset used for AI training and execution.

Implementation status at M22 of Middleware for Enabling Edge-AI (se abrirá en una nueva ventana)

This deliverable will report on the status at M22 of the WP4 activities related to the implementation of middleware software for enabling AI.

Dissemination, Communication, and Standardization at M24 (se abrirá en una nueva ventana)

This report highlights the dissemination, communication, and standardization activities and outcomes during the second year of the project.

Design and preliminary implementation of Middleware for Enabling Edge-AI (se abrirá en una nueva ventana)

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.

Design and first implementation of AI-driven applications for the use cases (se abrirá en una nueva ventana)

This deliverable will communicate the detailed status of the CLEVER applications enabling the use cases and based on the CLEVER HW and SW building components and technologies. It will report on the technical progress of all the WP5 tasks and subtasks. In addition, it will provide the indicators that show how much progress has been achieved with regard to the completion of the deliverables, 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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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.

Publicaciones

Using Distributed Ledgers To Build Knowledge Graphs For Decentralized Computing Ecosystems (se abrirá en una nueva ventana)

Autores: Tarek Zaarour, Ahmed Khalid, Preeja Pradeep, Ahmed Zahran
Publicado en: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Editor: ACM
DOI: 10.1145/3627673.3679644

Comparative analysis of machine learning algorithms for the classification of underwater marine debris (se abrirá en una nueva ventana)

Autores: B. Jalil, L. Maggiani and L. Valcarenghi
Publicado en: 2023
Editor: IEEE
DOI: 10.1109/MetroSea58055.2023.10317314

Safeguarding Blockchain and Dlts From Arbitrary and Malicious Content (se abrirá en una nueva ventana)

Autores: Alan Barnett, Merry Globin, Tarek Zaarour, Sean Ahearne, Ahmed Khalid
Publicado en: 2024 IEEE 32nd International Conference on Network Protocols (ICNP), 2025
Editor: IEEE
DOI: 10.1109/ICNP61940.2024.10858544

Fiber To The Room Challenges and Opportunities (se abrirá en una nueva ventana)

Autores: A. Marotta, L. Valcarenghi, K. Kondepu, C. Centofanti, C. Rinaldi, F. Graziosi, D. Cassioli
Publicado en: 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2024
Editor: IEEE
DOI: 10.1109/COMSNETS59351.2024.10427248

ELEVATE: Optimal Scheduling of Time-Sensitive Tasks on the Heterogeneous Reconfigurable Edge (se abrirá en una nueva ventana)

Autores: Ingo Hoyer, Tarek Zaarour, Ahmed Khalid, Alexander Utz, Karsten Seidl, Ken Brown, Ahmed H. Zahran
Publicado en: 2024 IEEE 32nd International Conference on Network Protocols (ICNP), 2025
Editor: IEEE
DOI: 10.1109/ICNP61940.2024.10858561

First Line-rate End-to-End Post-Quantum Encrypted Optical Fiber Link Using Data Processing Units (DPUs) (se abrirá en una nueva ventana)

Autores: A. Cano Aguilera, R. Abu Bakar, F. Alhamed, C. Rubio Garcia, J.L. Imana, I.Tafur Monroy, F. Cugini, and J.J Vegas Olmos
Publicado en: 2024
DOI: 10.1364/OFC.2024.M1G.4

Computation offloading in beyond 5G/6G networks with edge computing: implications and challenges (se abrirá en una nueva ventana)

Autores: Catalina Stan; Simon Rommel; Juan José Vegas Olmos; Idelfonso Tafur Monroy
Publicado en: Crossref, 2023, ISBN 978-3-031-38317-5
Editor: Springer
DOI: 10.1007/978-3-031-38318-2_47

Adaptive Retraining of AI/ML Model for Beyond 5G Networks: A Predictive Approach (se abrirá en una nueva ventana)

Autores: 11. V. Gudepu, V. R. Chintapalli, P. Castoldi, L. Valcarenghi, B. R. Tamma and K. Kondepu
Publicado en: 2023
DOI: 10.1109/NetSoft57336.2023.10175451

Coordinated vDU relocation for an Energy Efficient PON-based Open SD-RAN (se abrirá en una nueva ventana)

Autores: L. Valcarenghi
Publicado en: 2024 24th International Conference on Transparent Optical Networks (ICTON), 2024
Editor: IEEE
DOI: 10.1109/ICTON62926.2024.10647660

Energy-Efficient Integrated O-RAN/PON Access Network (se abrirá en una nueva ventana)

Autores: L. Valcarenghi, A. Marotta, C. Centofanti, F. Graziosi, K. Kondepu
Publicado en: ICC 2024 - IEEE International Conference on Communications, 2024
Editor: IEEE
DOI: 10.1109/ICC51166.2024.10622867

5G New Radio Techniques for 3D Networks in Connection-critical Scenarios (se abrirá en una nueva ventana)

Autores: Luca Valcarenghi, Justine Cris Borromeo, Riccardo Bassoli, Frank H.P. Fitzek, Koteswararao Kondepu, Nicola Andriolli, Henok Berhanu Tsegaye, Claudio Sacchi
Publicado en: 2024 IEEE Aerospace Conference, 2024
Editor: IEEE
DOI: 10.1109/AERO58975.2024.10521105

Marine Litter Classification Through Multi-Camera System: Perception and Latency (se abrirá en una nueva ventana)

Autores: B. Jalil, L. Maggiani, L. Valcarenghi
Publicado en: 2024 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea), 2025
Editor: IEEE
DOI: 10.1109/METROSEA62823.2024.10765735

GAN-Based Drift and Anomaly Detection for Open Radio Access Networks (se abrirá en una nueva ventana)

Autores: Venkateswarlu Gudepu, Bhargav Chirumamilla, Venkatarami Reddy Chintapalli, Piero Castoldi, Luca Valcarenghi, Bheemarjuna Reddy Tamma, Deepak Kataria, Koteswararao Kondepu
Publicado en: 2024 IEEE 25th International Conference on High Performance Switching and Routing (HPSR), 2024
Editor: IEEE
DOI: 10.1109/HPSR62440.2024.10635911

Enhancing UAV Systems via Task Offloading at the EDGE (se abrirá en una nueva ventana)

Autores: R. R. Tella, A. Marotta, P. Castoldi, L. Valcarenghi and K. Kondepu
Publicado en: 2023
DOI: 10.1109/ANTS59832.2023.10469506

Hierarchical Software-Defined Control for coordinated RAN and PON-based Transport Scaling (se abrirá en una nueva ventana)

Autores: Alessandro Pacini, Andrea Sgambelluri, Carlo Centofanti, Andrea Marotta, Emilio Paolini, Alessio Giorgetti, Luca Valcarenghi
Publicado en: NOMS 2024-2024 IEEE Network Operations and Management Symposium, 2024
Editor: IEEE
DOI: 10.1109/NOMS59830.2024.10575208

Photonic-accelerated AI for cybersecurity in sustainable 6G networks (se abrirá en una nueva ventana)

Autores: E. Paolini, L. Valcarenghi, L. Maggiani and N. Andriolli
Publicado en: 2023
Editor: IEEE
DOI: 10.1109/EuCNC/6GSummit58263.2023.10188264

Scalable User-Centric Distributed Massive MIMO Systems with Limited Processing Capacity (se abrirá en una nueva ventana)

Autores: M. M. M. Freitas et al.
Publicado en: 2023
Editor: IEEE
DOI: 10.1109/ICC45041.2023.10279694

Optimized Monitoring of Underwater Marine Waste Using Knowledge Distillation (se abrirá en una nueva ventana)

Autores: B. Jalil, L. Maggiani, L. Valcarenghi
Publicado en: 2024 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea), 2025
Editor: IEEE
DOI: 10.1109/METROSEA62823.2024.10765682

A Programmable 5G DU-RU SmartNIC based on MPSoC FPGA (se abrirá en una nueva ventana)

Autores: Abdelghani Bourenane, Emilio Paolini, Nicola Andriolli, Luca Valcarenghi
Publicado en: 2024 IEEE 25th International Conference on High Performance Switching and Routing (HPSR), 2024
Editor: IEEE
DOI: 10.1109/HPSR62440.2024.10635977

Virtual Try-On Application leveraging RoCE in Low-latency Edge Computing Networks (se abrirá en una nueva ventana)

Autores: Michelangelo Guaitolini, Abdul H. Khan, Emilie Le Rouzic, Francesco Paolucci, Filippo Cugini
Publicado en: 2024 24th International Conference on Transparent Optical Networks (ICTON), 2024
Editor: IEEE
DOI: 10.1109/ICTON62926.2024.10647389

AI/ML Model Training in O-RAN: Assessing Datasets for Hoarding and Choosing Strategies (se abrirá en una nueva ventana)

Autores: Venkateswarlu Gudepu, Bhargav Chirumamilla, Venkatarami Reddy Chintapalli, Piero Castoldi, Luca Valcarenghi, Koteswararao Kondepu
Publicado en: 2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2024
Editor: IEEE
DOI: 10.1109/ANTS59832.2023.10468670

Programmable Packet-Optical Networks using Data Processing Units (DPUs) with Embedded GPU (se abrirá en una nueva ventana)

Autores: Piero Castoldi, Rana Abu Bakar, Andrea Sgambelluri, Juan Jose Vegas Olmos, Francesco Paolucci, and Filippo Cugini
Publicado en: 2024
DOI: 10.5281/zenodo.11030206

A pilot study to classify salt treated poplar plants using machine learning algorithms (se abrirá en una nueva ventana)

Autores: Bushra Jalil, Iqra Sarfraz, Lorenzo Della Maggiora, Alessandra Francini, Luca Valcarenghi, Luca Sebastiani
Publicado en: 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 2024
Editor: IEEE
DOI: 10.1109/METROAGRIFOR58484.2023.10424065

Towards Trust-Based Data Weighting in Machine Learning (se abrirá en una nueva ventana)

Autores: Seán Óg Murphy, Utz Roedig, Cormac J. Sreenan, Ahmed Khalid
Publicado en: 2023 IEEE 31st International Conference on Network Protocols (ICNP), 2023
Editor: IEEE
DOI: 10.1109/ICNP59255.2023.10355606

"Virtual Try-On Application leveraging RoCE in Low-latency Edge Computing Networks"", 24th International Conference on Transparent Optical Networks (ICTON), 2024"

Autores: M. Guaitolini, A. H. Khan, E. Le Rouzic, F. Paolucci, F. Cugini
Publicado en: 2024

A Cooperative Energy Saving Scheme for NG-PON2-Based 5G X-Haul (se abrirá en una nueva ventana)

Autores: L. Valcarenghi, A. Marotta, C. Centofanti, F. Graziosi and K. Kondepu
Publicado en: 2023
Editor: IEEE
DOI: 10.1109/PSC57974.2023.10297278

"""A Flexible Forecasting Platform Enabling Zero Touch Networking and Digital Twinning,"" 2023 23rd International Conference on Transparent Optical Networks (ICTON), Bucharest, Romania, 2"

Autores: L. Valcarenghi, P. Castoldi, A. Sgambelluri, E. Paolini and A. Pacini,
Publicado en: 2023

Enabling Lightweight Federated Learning in NextG Wireless Networks (se abrirá en una nueva ventana)

Autores: Emilio Paolini, Luca Valcarenghi, Nicola Andriolli, Luca Maggiani, Flavio Esposito
Publicado en: 2024 IEEE 10th International Conference on Network Softwarization (NetSoft), 2024
Editor: IEEE
DOI: 10.1109/NetSoft60951.2024.10588916

Effectiveness of Confidentiality-Preserving Clustering Algorithms for Soft Failure Detection in Optical Networks (se abrirá en una nueva ventana)

Autores: Azarm Yeganehfallah, Andrea Sgambelluri, Alessandro Pacini, Luca Valcarenghi, Moises Felipe Silva
Publicado en: 2024 IEEE 25th International Conference on High Performance Switching and Routing (HPSR), 2024
Editor: IEEE
DOI: 10.1109/HPSR62440.2024.10636007

Cascaded Look Up Table Distillation of P4 Deep Neural Network Switches (se abrirá en una nueva ventana)

Autores: De Marinis, Lorenzo Paolini, Emilio Rana, Abu Bakar Cugini, Filippo Paolucci, Francesco
Publicado en: 2023
DOI: 10.5281/zenodo.11029806

CATER: A Policy-Based Data Placement Framework for Edge Storage (se abrirá en una nueva ventana)

Autores: 5. Ahmed Khalid, Sean Ahearne, Hemant K. Mehta, Utz Roedig, Cormac J. Sreenan
Publicado en: 2024
DOI: 10.1109/PDP62718.2024.00013

A Flexible Forecasting Platform Enabling Zero Touch Networking and Digital Twinning (se abrirá en una nueva ventana)

Autores: L. Valcarenghi, P. Castoldi, A. Sgambelluri, E. Paolini and A. Pacini
Publicado en: 2023
Editor: IEEE
DOI: 10.1109/ICTON59386.2023.10207209

Real-Time Clustering Based on Deep Embeddings for Threat Detection in 6G Networks (se abrirá en una nueva ventana)

Autores: E. Paolini, L. Valcarenghi, L. Maggiani and N. Andriolli
Publicado en: IEEE Access, 2023, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2023.3325721.

Enhancing Network Visibility and Security with Advanced Port Scanning Techniques (se abrirá en una nueva ventana)

Autores: Rana Abu Bakar, Boonserm Kijsirikul
Publicado en: Sensors, Edición 23, 2023, ISSN 1424-8220
Editor: MDPI AG
DOI: 10.3390/s23177541

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