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Paolo Bellavista

Professore ordinario

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: IINF-05/A Sistemi di elaborazione delle informazioni

Pubblicazioni

Rojo, Javier; Garcia-Alonso, Jose; Berrocal, Javier; Foschini, Luca; Bellavista, Paolo; Hernández, Juan; Murillo, Juan M., Enabling Personal Health Trajectory systems by means of a blockchain federation, «INTERNET OF THINGS», 2024, 27, Article number: 101247, pp. 1 - 17 [articolo]

Herrera, Juan Luis; Montebugnoli, Sofia; Bellavista, Paolo; Foschini, Luca, Enabling Reusable and Comparable xApps in the Machine Learning-Driven Open RAN, in: IEEE International Conference on High Performance Switching and Routing, HPSR, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE Computer Society, 2024, pp. 37 - 42 (atti di: 25th IEEE International Conference on High Performance Switching and Routing, HPSR 2024, Pisa, Italy, July 22-24, 2024) [Contributo in Atti di convegno]

Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini, EneA-FL: Energy-aware orchestration for serverless federated learning, «FUTURE GENERATION COMPUTER SYSTEMS», 2024, 154, pp. 219 - 234 [articolo]Open Access

Mora, Alessio; Bujari, Armir; Bellavista, Paolo, Enhancing generalization in Federated Learning with heterogeneous data: A comparative literature review, «FUTURE GENERATION COMPUTER SYSTEMS», 2024, 157, pp. 1 - 15 [articolo]Open Access

Bellavista, Paolo; Bicocchi, Nicola; Fogli, Mattia; Giannelli, Carlo; Mamei, Marco; Picone, Marco, Exploiting microservices and serverless for Digital Twins in the cloud-to-edge continuum, «FUTURE GENERATION COMPUTER SYSTEMS», 2024, 157, pp. 275 - 287 [articolo]

Romandini, Nicolò; Mora, Alessio; Mazzocca, Carlo; Montanari, Rebecca; Bellavista, Paolo, Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics, «IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS», 2024, ON LINE FIRST, pp. 1 - 21 [articolo]Open Access

Mora, Alessio; Dominici, Luca; Bellavista, Paolo, FedUNRAN: On-device Federated Unlearning via Random Labels, in: Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 7955 - 7960 (atti di: 2024 IEEE International Conference on Big Data, BigData 2024, usa, 2024) [Contributo in Atti di convegno]

Mazzocca, Carlo; Garbugli, Andrea; Armillotta, Michele; Montanari, Rebecca; Bellavista, Paolo, Flexible and Secure Process Confinement with eBPF, in: Security and Trust Management, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, pp. 97 - 109 (atti di: 20th International Workshop on Security and Trust Management (ERCIM STM 2024), Bydgoszcz, Poland, September 19–20, 2024) [Contributo in Atti di convegno]

Mendula, Matteo; Bellavista, Paolo; Levorato, Marco; de Guevara Contreras, Sharon Ladron, Furcifer: a Context Adaptive Middleware for Real-world Object Detection Exploiting Local, Edge, and Split Computing in the Cloud Continuum, in: 2024 IEEE International Conference on Pervasive Computing and Communications, PerCom 2024, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 47 - 56 (atti di: 22nd IEEE International Conference on Pervasive Computing and Communications, PerCom 2024, Biarritz, France, March 11-15, 2024) [Contributo in Atti di convegno]

Lakhan, Abdullah; Grønli, Tor-Morten; Bellavista, Paolo; Memon, Sajida; Alharby, Maher; Thinnukool, Orawit, IoT workload offloading efficient intelligent transport system in federated ACNN integrated cooperated edge-cloud networks, «JOURNAL OF CLOUD COMPUTING», 2024, 13, Article number: 79, pp. 1 - 16 [articolo]

Bellavista, Paolo; Di Modica, Giuseppe, IoTwins: Implementing Distributed and Hybrid Digital Twins in Industrial Manufacturing and Facility Management Settings, «FUTURE INTERNET», 2024, 16, Article number: 65, pp. 1 - 18 [articolo]Open Access

Qaisar, Muhammad Umar Farooq; Yuan, Weijie; Bellavista, Paolo; Han, Guangjie; Ahmed, Adeel, ISAC-Assisted Wireless Rechargeable Sensor Networks with Multiple Mobile Charging Vehicles, «IEEE INTERNET OF THINGS MAGAZINE», 2024, 7, pp. 80 - 86 [articolo]

Mora, A.; Tenison, I.; Bellavista, P.; Rish, I., Knowledge Distillation in Federated Learning: A Practical Guide, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, {IJCAI} 2024, 2024, pp. 8188 - 8196 (atti di: Thirty-Third International Joint Conference on Artificial Intelligence, (IJCAI) 2024, Jeju, South Korea, August 3-9, 2024) [Contributo in Atti di convegno]

Bellavista, Paolo; Dahdal, Simon; Foschini, Luca; Tazzioli, Davide; Tortonesi, Mauro; Venanzi, Riccardo, Kubernetes Enhanced Stateful Service Migration for ML-Driven Applications in Industry 4.0 Scenarios, in: Proceedings - 2024 IEEE Annual Congress on Artificial Intelligence of Things, AIoT 2024, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 25 - 31 (atti di: 2024 IEEE Annual Congress on Artificial Intelligence of Things, AIoT 2024, aus, 2024) [Contributo in Atti di convegno]

Mazzocca, Carlo; Mora, Alessio; Romandini, Nicolò; Montanari, Rebecca; Bellavista, Paolo, Membership Proof in Federated Learning via Cryptographic Accumulators, in: 2024 6th International Conference on Blockchain Computing and Applications (BCCA), IEEE, 2024, pp. 57 - 63 (atti di: International Conference on Blockchain Computing and Applications (BCCA), Dubai, United Arab Emirates, 26-29 November 2024) [Contributo in Atti di convegno]Open Access

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