Dottorando in Ingegneria Informatica E Dei Sistemi , 38o ciclo (2022-2025)
Dipartimento di Automatica e Informatica (DAUIN)
Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)
Profilo
Dottorato di ricerca
Argomento di ricerca
Distributed and Federated Learning over IoT networks
Tutori
Presentazione della ricerca
Interessi di ricerca
Biografia
Premi e riconoscimenti
- Certificate of presentation at the International Joint Conference on Neural Networks (IJCNN) 2025. (2025)
- Certificate of participation as a session chair at the conference IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), 2025. Session chair for: 2025 IEEE COMPSAC International Workshop on Modeling and Verifying Distributed-Embedded Applications (MVDA 2025) 2025 IEEE International Workshop on Rising ICT Solutions for Smart Grids as Multi-energy Systems (ICT4SmartGrid 2025) (2025)
- Certificate of attendance to conference as a speaker at the IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), 2025 (2025)
- Certificate of attendance to conference as a speaker at the 31st IEEE International Conference on Electronics Circuits and Systems (ICECS), 2024. (2024)
- Certificate of attendance to conference as a speaker at the IEEE International Symposium on Low Power Electronics and Design (ISLPED) 2023. (2023)
Didattica
Insegnamenti
Corso di laurea di 1° livello
- Informatica. A.A. 2025/26, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Informatica. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
- Informatica. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
Ricerca
Gruppi di ricerca
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Malan, Erich; De Vizia, Claudia; Castangia, Marco; Peluso, Valentino; Calimera, Andrea; ... (2025)
Privacy-Preserving Federated Learning for Household Characteristic Identification. In: 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), Toronto ON (CAN), 08-11 July 2025, pp. 2040-2045. ISBN: 979-8-3315-7434-5
Contributo in Atti di Convegno (Proceeding) - Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico (2025)
Adaptive Client Participation in Budget-Constrained Federated Learning with Extreme Label Skew. In: 2025 23rd IEEE Interregional NEWCAS Conference (NEWCAS), Paris (FRA), 22-25 June 2025, pp. 15-19. ISBN: 979-8-3315-3256-7
Contributo in Atti di Convegno (Proceeding) - Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico (2025)
Refined Two-Sided Learning Rate Tuning for Robust Evaluation in Federated Learning. In: IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE. ISSN 2691-4581
Contributo su Rivista - Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico (2024)
Draft & Refine: Efficient Resource Management in Federated Learning under Pathological Labels Skew. In: International Conference on Electronics Circuits and Systems (ICECS) 2024, Nancy (FRA), 18-20 November 2024, pp. 1-4. ISBN: 979-8-3503-7720-0
Contributo in Atti di Convegno (Proceeding) - Peluso, Valentino; Malan, Erich; Calimera, Andrea; Macii, Enrico (2024)
Private Tensor Freezing for an Efficient Federated Learning with Homomorphic Encryption. In: International Conference on Computer Design (ICCD) 2024, Milan (ITA), 18-20 November 2024, pp. 308-315. ISBN: 979-8-3503-8040-8
Contributo in Atti di Convegno (Proceeding)