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
(2026). Federated Learning with Profile Mapping under Distribution Shifts and Drifts. The Fourteenth International Conference on Learning Representations, ICLR 2026, Rio de Janeiro, Brazil, April 23-27, 2026.
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(2025). A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Mach. Learn. Knowl. Extr..
(2025). A Survey on Federated Learning in Human Sensing. CoRR.
(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.
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(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.