Ph.D. in Ingegneria Informatica E Dei Sistemi , 36th cycle (2020-2023)
Ph.D. obtained in 2024
Dissertation:
Advancing Generalization in Heterogeneous Federated Learning for Real-world Vision Applications (Abstract)
Tutors:
Barbara CaputoTeaching
Teachings
Master of Science
- Advanced Machine Learning. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Bachelor of Science
- Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Silvi, Andrea; Rizzardi, Andrea; Caldarola, Debora; Caputo, Barbara; Ciccone, Marco (2024)
Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients. In: IEEE ACCESS, vol. 12, pp. 57043-57058. ISSN 2169-3536
Contributo su Rivista - Caldarola, Debora (2024)
Advancing Generalization in Heterogeneous Federated Learning for Real-world Vision Applications. relatore: CAPUTO, BARBARA; , 36. XXXVI Ciclo, P.: 310
Doctoral Thesis - Dutto, Mattia; Berton, Gabriele; Caldarola, Debora; Fani, Eros; Trivigno, Gabriele; ... (2024)
Collaborative Visual Place Recognition through Federated Learning. In: IEEE / CVF Computer Vision and Pattern Recognition Conference Workshop, Seattle (USA), 17-18 June 2024, pp. 4215-4225. ISBN: 979-8-3503-6547-4
Contributo in Atti di Convegno (Proceeding) - Caldarola, Debora; Caputo, Barbara; Ciccone, Marco (2023)
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. In: International Conference on Computer Vision Workshop 2023, Parigi (FR), 02-06 October 2023, pp. 2255-2263. ISBN: 979-8-3503-0744-3
Contributo in Atti di Convegno (Proceeding) - Shenaj, Donald; Fani, Eros; Toldo, Marco; Caldarola, Debora; Tavera, Antonio; Michieli, ... (2023)
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii (USA), 02-07 January 2023, pp. 444-454
Contributo in Atti di Convegno (Proceeding) - Fantauzzo, Lidia; Fani', Eros; Caldarola, Debora; Tavera, Antonio; Cermelli, Fabio; ... (2022)
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto (JPN), 23-27 October 2022, pp. 11504-11511
Contributo in Atti di Convegno (Proceeding) - Zaccone, Riccardo; Rizzardi, Andrea; Caldarola, Debora; Ciccone, Marco; Caputo, Barbara (2022)
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. In: 26th International Conference on Pattern Recognition (ICPR), Montréal, Québec (Canada), 21-25 August 2022, pp. 3376-3382
Contributo in Atti di Convegno (Proceeding) - Caldarola, Debora; Caputo, Barbara; Ciccone, Marco (2022)
Improving Generalization in Federated Learning by Seeking Flat Minima. In: Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, 23-27 Ottobre 2022, pp. 654-672. ISBN: 978-3-031-20049-6
Contributo in Atti di Convegno (Proceeding) - Caldarola, Debora; Mancini, Massimiliano; Galasso, Fabio; Ciccone, Marco; Rodolà, ... (2021)
Cluster-driven Graph Federated Learning over Multiple Domains. In: Workshop Learning from Limited and Imperfect Data in IEEE Conference on Computer Vision and Pattern Recognition, Nashville, TN (USA), 19-25 June 2021, pp. 2743-2752. ISBN: 978-1-6654-4899-4
Contributo in Atti di Convegno (Proceeding)