Debora Caldarola

Thesis title

Advancing Generalization in Heterogeneous Federated Learning for Real-world Vision Applications

Tutors

• Barbara Caputo

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

• VANDAL - Visual and Multimodal Applied Learning Laboratory (DAUIN)

• Dutto, Mattia; Berton, Gabriele; Caldarola, Debora; Fani, Eros; Trivigno, Gabriele; ... (In stampa)
  Collaborative Visual Place Recognition through Federated Learning. In: IEEE / CVF Computer Vision and Pattern Recognition Conference Workshop, Seattle (USA)
  Contributo in Atti di Convegno (Proceeding)
• Silvi, Andrea; Rizzardi, Andrea; Caldarola, Debora; Caputo, Barbara; Ciccone, Marco (In stampa)
  Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients. In: IEEE ACCESS. ISSN 2169-3536
  Contributo su Rivista
• 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)
• 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)