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)

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)

FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving. - Eros Fanì; Marco Ciccone; Barbara Caputo (CoRR, 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 Heterogeneous Federated Learning with Closed-form Classifiers. - Eros Fanì; Raffaello Camoriano; Barbara Caputo; Marco Ciccone (ICML, 2024)

Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers. - Eros Fanì; Raffaello Camoriano; Barbara Caputo; Marco Ciccone (IEEE Access, 2025)

Interaction-Aware Gaussian Weighting for Clustered Federated Learning. - Alessandro Licciardi; Davide Leo; Eros Fanì; Barbara Caputo; Marco Ciccone (CoRR, 2025)

Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models. - Gergely Dániel Németh; Eros Fanì; Yeat Jeng Ng; Barbara Caputo; Miguel Angel Lozano; Nuria Oliver; Novi Quadrianto (CoRR, 2025)