Farooq, Muhammad Azaz; Bellavista, Paolo; Bujari, Armir; Mora, Alessio; Nasir, Jamal; Ahmed, Rohma, FedAdapt-CAD: A Federated Learning Framework for Anomaly Detection with Client-Aware Aggregation and Dynamic Model Adaptation, in: International Conference on Computing, Networking and Communications (ICNC 2026), 2025, pp. 143 - 149 (atti di: International Conference on Computing, Networking and Communications (ICNC 2026), Hawai, USA, February 16-19, 2026) [Contribution to conference proceedings]
Mora, Alessio; Mazzocca, Carlo; Montanari, Rebecca; Bellavista, Paolo, Federated Unlearning in Healthcare: Why It Matters, in: Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., 2025, pp. 1 - 7 (atti di: 2025 International Joint Conference on Neural Networks, IJCNN 2025, Pontifical Gregorian University, ita, 2025) [Contribution to conference proceedings]
Mazzocca, Carlo; Mora, Alessio; Romandini, Nicolò; Montanari, Rebecca; Bellavista, Paolo, I Trained That! Client-Side Proof of Participation in Federated Learning, «CLUSTER COMPUTING», 2025, 28, Article number: 942 , pp. 1 - 12 [Scientific article]
Mora, Alessio; Bellavista, Paolo, Is Client Unlearning Really Necessary in Federating Learning?, in: Proceedings of the International Conference on Artificial Intelligence in Information and Communication, {ICAIIC} 2025, 2025, pp. 0696 - 0701 (atti di: International Conference on Artificial Intelligence in Information and Communication, Fukuoka, Japan, February 18-21, 2025) [Contribution to conference proceedings]
Guastella, Adriano; Sani, Lorenzo; Iacob, Alex; Mora, Alessio; Bellavista, Paolo; Lane, Nicholas D., SparsyFed: Sparse Adaptive Federated Training, in: Proceedings of the Thirteenth International Conference on Learning Representations {ICLR} 2025, 2025, pp. 1 - 33 (atti di: Thirteenth International Conference on Learning Representations {ICLR} 2025, Singapore, April 24-28, 2025) [Contribution to conference proceedings]
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 [Scientific article]Open Access
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 [Scientific article]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) [Contribution to conference proceedings]
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, «IJCAI», 2024, pp. 8188 - 8196 (atti di: Thirty-Third International Joint Conference on Artificial Intelligence, (IJCAI) 2024, Jeju, South Korea, August 3-9, 2024) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]Open Access
Mora, Alessio; Fantini, Davide; Bellavista, Paolo, Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation, in: Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, IEEE, 2022, pp. 336 - 341 (atti di: 7th IEEE/ACM Symposium on Edge Computing (SEC 2022), Seattle, WA, USA, December 5-8, 2022) [Contribution to conference proceedings]
Mora, A; Foschini, L; Bellavista, P, Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning, in: 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, 2022, pp. 1 - 5 (atti di: 95th IEEE Vehicular Technology Conference - Spring, VTC 2022 -, Helsinki, Finland, 19-22 June 2022) [Contribution to conference proceedings]Open Access
Bellavista, Paolo; Foschini, Luca; Mora, Alessio, Communication-Efficient Heterogeneous Federated Dropout in Cross-device Settings, in: Proceedings of IEEE Globecom 2021, Piscataway, IEEE, 2021, pp. 1 - 6 (atti di: 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, 7-11 Dec 2021) [Contribution to conference proceedings]
Bellavista, Paolo; Foschini, Luca; Mora, Alessio, Decentralised Learning in Federated Deployment Environments, «ACM COMPUTING SURVEYS», 2021, 54, Article number: 15 , pp. 1 - 38 [Scientific article]Open Access
Bellavista P.; Mora A., Edge cloud as an enabler for distributed AI in industrial IoT applications: The experience of the iotwins project, in: CEUR Workshop Proceedings, CEUR-WS, 2019, 2502, pp. 1 - 15 (atti di: 1st Workshop on Artificial Intelligence and Internet of Things, AI and IoT 2019, ita, 2019) [Contribution to conference proceedings]
