A Federated Unsupervised Personalisation for Cognitive Workload Estimation. - Dario Fenoglio; Martin Gjoreski; Marc Langheinrich (MUM, 2023)

Federated Learning for Privacy-aware Cognitive Workload Estimation. - Dario Fenoglio; Daniel Josifovski; Alessandro Gobbetti; Mattias Formo; Hristijan Gjoreski; Martin Gjoreski; Marc Langheinrich (MUM, 2023)

Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase. - Massimo Salvi; Claudia Manini; Jose I. López; Dario Fenoglio; Filippo Molinari (Comput. Medical Imaging Graph., 2023)

Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. - Dario Fenoglio; Mohan Li; Davide Casnici; Matías Laporte; Shkurta Gashi; Silvia Santini; Martin Gjoreski; Marc Langheinrich (IE, 2024)

Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. - Dario Fenoglio; Gabriele Dominici; Pietro Barbiero; Alberto Tonda; Martin Gjoreski; Marc Langheinrich (NeurIPS, 2024)