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ORCIDBarbara Caputo
- > Home > Persons > Barbara Caputo
Publications
- 2023
[c148]Debora Caldarola, Barbara Caputo, Marco Ciccone:
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. ICCV (Workshops) 2023: 2255-2263- [c145]Donald Shenaj
, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo:
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. WACV 2023: 444-454 - [i88]Eros Fanì, Marco Ciccone, Barbara Caputo:
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving. CoRR abs/2309.13336 (2023) - [i87]Debora Caldarola, Barbara Caputo, Marco Ciccone:
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. CoRR abs/2310.01366 (2023) - 2022
- [c141]Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo:
Incremental Learning in Semantic Segmentation from Image Labels. CVPR 2022: 4361-4371 - [c137]Debora Caldarola, Barbara Caputo, Marco Ciccone:
Improving Generalization in Federated Learning by Seeking Flat Minima. ECCV (23) 2022: 654-672 - [c131]Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo:
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. ICPR 2022: 3376-3382 - [c130]Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo:
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. IROS 2022: 11504-11511 - [e5]Douwe Kiela, Marco Ciccone, Barbara Caputo:
NeurIPS 2021 Competitions and Demonstrations Track, 6-14 December 2021, Online. Proceedings of Machine Learning Research 176, PMLR 2022 [contents] - [i84]Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo:
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. CoRR abs/2201.10899 (2022) - [i82]Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo:
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. CoRR abs/2202.13670 (2022) - [i81]Debora Caldarola, Barbara Caputo, Marco Ciccone:
Improving Generalization in Federated Learning by Seeking Flat Minima. CoRR abs/2203.11834 (2022) - [i72]Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo:
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. CoRR abs/2210.02326 (2022) - 2021
- [j30]Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo:
DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation. IEEE Robotics Autom. Lett. 6(4): 6616-6623 (2021) - [c123]Marco Cannici, Chiara Plizzari, Mirco Planamente, Marco Ciccone, Andrea Bottino, Barbara Caputo, Matteo Matteucci:
N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation. CVPR Workshops 2021: 1342-1347 - [c121]Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo:
Cluster-Driven Graph Federated Learning Over Multiple Domains. CVPR Workshops 2021: 2749-2758 - [i68]Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo:
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation. CoRR abs/2103.12768 (2021) - [i64]Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo:
Cluster-driven Graph Federated Learning over Multiple Domains. CoRR abs/2104.14628 (2021) - [i52]Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo:
Incremental Learning in Semantic Segmentation from Image Labels. CoRR abs/2112.01882 (2021)
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