Mohan Li

Mohan Li

PhD Student
Università della Svizzera italiana
Mohan Li is a PhD student at the Faculty of Informatics, Università della Svizzera italiana (USI). He works on privacy-friendly technologies such as federated learning applied to human well-being, job satisfaction, wearable computing, and much more.
Publications
Dario Fenoglio, Arianna Casanova, Francesco De Santis, Mohan Li, Gabriele Dominici, Johannes Schneider, Martin Gjoreski, Marc Langheinrich, Pietro Barbiero, Giovanni de Felice (2026). Federated Concept-Based Models: Interpretable models with distributed supervision. CoRR.
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Mohan Li, Dario Fenoglio, Martin Gjoreski, Marc Langheinrich (2026). Federated Learning with Profile Mapping under Distribution Shifts and Drifts. CoRR.
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Zoja Anzur, Klara Zinkovic, Junos Lukan, Pietro Barbiero, Gasper Slapnicar, Mohan Li, Martin Gjoreski, Maike E. Debus, Sebastijan Trojer, Mitja Lustrek, Marc Langheinrich (2025). A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Mach. Learn. Knowl. Extr..
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Mohan Li, Martin Gjoreski, Pietro Barbiero, Gasper Slapnicar, Mitja Lustrek, Nicholas D. Lane, Marc Langheinrich (2025). A Survey on Federated Learning in Human Sensing. CoRR.
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Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski (2025). FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025.
URL
Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski (2025). FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts. CoRR.
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Dario Fenoglio, Mohan Li, Davide Casnici, Matías Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich (2025). Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. CoRR.
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Dario Fenoglio, Mohan Li, Davide Casnici, Matías Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich (2024). Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. International Conference on Intelligent Environments, IE 2024, Ljubljana, Slovenia, June 17-20, 2024.
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