DEBORA CALDAROLA

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PhD Student
Adjunct Professor

Most recent publications

Shenaj, Donald; Fani, Eros; Toldo, Marco; Caldarola, Debora; Tavera, Antonio; Michieli, ... (In stampa)
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), 3-7 Gennaio 2023
Caldarola, Debora; Caputo, Barbara; Ciccone, Marco (In stampa)
Improving Generalization in Federated Learning by Seeking Flat Minima. In: European Conference on Computer Vision, Tel Aviv, 23-27 Ottobre 2022
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 Ottobre 2022
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, 21-25 Agosto 2022
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
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