Continual coarse-to-fine domain adaptation in semantic segmentation. - Donald Shenaj; Francesco Barbato; Umberto Michieli; Pietro Zanuttigh (Image Vis. Comput., 2022)

Asynchronous Federated Continual Learning. - Donald Shenaj; Marco Toldo; Alberto Rigon; Pietro Zanuttigh (CVPR 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)

Federated Learning in Computer Vision. - Donald Shenaj; Giulia Rizzoli; Pietro Zanuttigh (IEEE Access, 2023)

Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers. - Giulia Rizzoli; Donald Shenaj; Pietro Zanuttigh (WACV (Workshops), 2024)

LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation. - Donald Shenaj; Ondrej Bohdal; Mete Ozay; Pietro Zanuttigh; Umberto Michieli (CoRR, 2024)

When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather. - Giulia Rizzoli; Matteo Caligiuri; Donald Shenaj; Francesco Barbato; Pietro Zanuttigh (WACV, 2025)

FedPromo: Federated Lightweight Proxy Models at the Edge Bring New Domains to Foundation Models. - Matteo Caligiuri; Francesco Barbato; Donald Shenaj; Umberto Michieli; Pietro Zanuttigh (CoRR, 2025)