Dario Fenoglio

11 papers A* 1B 2Misc 1Journal 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ERIS: Enhancing Privacy and Communication Efficiency in Serverless Federated Learning. CoRR Dario Fenoglio, Pasquale Polverino, Jacopo Quizi, Martin Gjoreski, Marc Langheinrich
2026	J	`jnl`	Federated Concept-Based Models: Interpretable models with distributed supervision. CoRR Dario Fenoglio, Arianna Casanova, Francesco De Santis, Mohan Li, Gabriele Dominici, Johannes Schneider, Martin Gjoreski, Marc Langheinrich, Pietro Barbiero, Giovanni de Felice
2026	J	`jnl`	Federated Learning with Profile Mapping under Distribution Shifts and Drifts. CoRR Mohan Li, Dario Fenoglio, Martin Gjoreski, Marc Langheinrich
2025	J	`jnl`	FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts. CoRR Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski
2025	J	`jnl`	Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. CoRR Dario Fenoglio, Mohan Li, Davide Casnici, Matías Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich
2024	A*	`conf`	Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. NeurIPS Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
2024	J	`jnl`	Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. CoRR Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
2024	Misc	`conf`	Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. IE Dario Fenoglio, Mohan Li, Davide Casnici, Matías Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich
2023	B	`conf`	A Federated Unsupervised Personalisation for Cognitive Workload Estimation. MUM Dario Fenoglio, Martin Gjoreski, Marc Langheinrich
2023	J	`jnl`	Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase. Comput. Medical Imaging Graph. Massimo Salvi, Claudia Manini, Jose I. López, Dario Fenoglio, Filippo Molinari
2023	B	`conf`	Federated Learning for Privacy-aware Cognitive Workload Estimation. MUM Dario Fenoglio, Daniel Josifovski, Alessandro Gobbetti, Mattias Formo, Hristijan Gjoreski, Martin Gjoreski, Marc Langheinrich