Dario Fenoglio

According to our database, Dario Fenoglio authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ERIS: Enhancing Privacy and Communication Efficiency in Serverless Federated Learning.

Dario Fenoglio, Pasquale Polverino, Jacopo Quizi, Martin Gjoreski, Marc Langheinrich

CoRR, February, 2026

Federated Learning with Profile Mapping under Distribution Shifts and Drifts.

Mohan Li, Dario Fenoglio, Martin Gjoreski, Marc Langheinrich

CoRR, February, 2026

Federated Concept-Based Models: Interpretable models with distributed supervision.

Dario Fenoglio, Arianna Casanova, Francesco De Santis, Mohan Li, Gabriele Dominici, Johannes Schneider, Martin Gjoreski, Marc Langheinrich, Pietro Barbiero, Giovanni de Felice

CoRR, February, 2026

2025

FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts.

Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski

CoRR, November, 2025

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the International Conference on Intelligent Environments, 2024

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., October, 2023

Federated Learning for Privacy-aware Cognitive Workload Estimation.

Dario Fenoglio, Daniel Josifovski, Alessandro Gobbetti, Mattias Formo, Hristijan Gjoreski, Martin Gjoreski, Marc Langheinrich

Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 2023

A Federated Unsupervised Personalisation for Cognitive Workload Estimation.

Dario Fenoglio, Martin Gjoreski, Marc Langheinrich

Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 2023