Debora Caldarola

18 papers A* 1A 2B 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning. CVPR Debora Caldarola, Pietro Cagnasso, Barbara Caputo, Marco Ciccone
2024	J	`jnl`	Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients. IEEE Access Andrea Silvi, Andrea Rizzardi, Debora Caldarola, Barbara Caputo, Marco Ciccone
2024	—	`—`	Advancing Generalization in Heterogeneous Federated Learning for Real-world Vision Applications. Debora Caldarola
2024	J	`jnl`	Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning. CoRR Debora Caldarola, Pietro Cagnasso, Barbara Caputo, Marco Ciccone
2024	—	`conf`	Collaborative Visual Place Recognition through Federated Learning. CVPR Workshops Mattia Dutto, Gabriele Moreno Berton, Debora Caldarola, Eros Fanì, Gabriele Trivigno, Carlo Masone
2024	J	`jnl`	Collaborative Visual Place Recognition through Federated Learning. CoRR Mattia Dutto, Gabriele Moreno Berton, Debora Caldarola, Eros Fanì, Gabriele Trivigno, Carlo Masone
2023	A	`conf`	Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. WACV Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo
2023	—	`conf`	Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. ICCV (Workshops) Debora Caldarola, Barbara Caputo, Marco Ciccone
2023	J	`jnl`	Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. CoRR Debora Caldarola, Barbara Caputo, Marco Ciccone
2022	A	`conf`	FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. IROS Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo
2022	J	`jnl`	FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. CoRR Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo
2022	—	`conf`	Improving Generalization in Federated Learning by Seeking Flat Minima. ECCV (23) Debora Caldarola, Barbara Caputo, Marco Ciccone
2022	J	`jnl`	Improving Generalization in Federated Learning by Seeking Flat Minima. CoRR Debora Caldarola, Barbara Caputo, Marco Ciccone
2022	J	`jnl`	Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. CoRR Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo
2022	B	`conf`	Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. ICPR Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo
2022	J	`jnl`	Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. CoRR Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo
2021	—	`conf`	Cluster-Driven Graph Federated Learning Over Multiple Domains. CVPR Workshops Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo
2021	J	`jnl`	Cluster-driven Graph Federated Learning over Multiple Domains. CoRR Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo