Hydra: : Hybrid-model federated learning for human activity recognition on heterogeneous devices
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Federated learning on wearable devices: demo abstract
SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor SystemsWearable devices collect user information about their activities and provide insights to improve their daily lifestyles. Smart health applications have achieved great success by training Machine Learning (ML) models on a large quantity of user data from ...
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AbstractFederated Learning (FL) is currently studied by several research groups as a promising paradigm for sensor-based Human Activity Recognition (HAR) to mitigate the privacy and scalability issues of classic centralized approaches. However,...
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