Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors - researchr publication related

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Dario Fenoglio, Mohan Li, Davide Casnici, Matías Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich. Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. In International Conference on Intelligent Environments, IE 2024, Ljubljana, Slovenia, June 17-20, 2024. pages 17-24, IEEE, 2024. [doi]

The following publications are possibly variants of this publication:

FedMMA-HAR: Federated Learning for Human Activity Recognition With Missing Modalities Using Head-Worn WearablesAlessandro Gobbetti, Martin Gjoreski, Hristijan Gjoreski, Nicholas D. Lane, Marc Langheinrich. pervasive, 23(4):40-49, October - December 2024. [doi]

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable SensorsFrédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Lukas Köping, Marcin Grzegorzek. sensors, 18(2):679, 2018. [doi]

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