Cluster-Driven Graph Federated Learning Over Multiple Domains. - Debora Caldarola; Massimiliano Mancini; Fabio Galasso; Marco Ciccone; Emanuele Rodolà; Barbara Caputo (CVPR Workshops, 2021)

Improving Generalization in Federated Learning by Seeking Flat Minima. - Debora Caldarola; Barbara Caputo; Marco Ciccone (ECCV (23), 2022)

Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. - Riccardo Zaccone; Andrea Rizzardi; Debora Caldarola; Marco Ciccone; Barbara Caputo (ICPR, 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 (IROS, 2022)

Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. - Debora Caldarola; Barbara Caputo; Marco Ciccone (ICCV (Workshops), 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 (WACV, 2023)

Collaborative Visual Place Recognition through Federated Learning. - Mattia Dutto; Gabriele Moreno Berton; Debora Caldarola; Eros Fanì; Gabriele Trivigno; Carlo Masone (CVPR Workshops, 2024)

Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients. - Andrea Silvi; Andrea Rizzardi; Debora Caldarola; Barbara Caputo; Marco Ciccone (IEEE Access, 2024)

Advancing Generalization in Heterogeneous Federated Learning for Real-world Vision Applications. - Debora Caldarola (2024)

Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning. - Debora Caldarola; Pietro Cagnasso; Barbara Caputo; Marco Ciccone (CVPR, 2025)