Debora Caldarola

According to our database, Debora Caldarola authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients.

Andrea Silvi, Andrea Rizzardi, Debora Caldarola, Barbara Caputo, Marco Ciccone

IEEE Access, 2024

Collaborative Visual Place Recognition through Federated Learning.

Mattia Dutto, Gabriele Moreno Berton, Debora Caldarola, Eros Fanì, Gabriele Trivigno, Carlo Masone

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning.

Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning.

Debora Caldarola, Barbara Caputo, Marco Ciccone

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving.

Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients.

Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Improving Generalization in Federated Learning by Seeking Flat Minima.

Debora Caldarola, Barbara Caputo, Marco Ciccone

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Cluster-Driven Graph Federated Learning Over Multiple Domains.

Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021