Corso di laurea magistrale

• Advanced Machine Learning. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Corso di laurea di 1° livello

• Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

• 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)
• 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 (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)
• 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)
• 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)
• 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)