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Federated Learning via Augmented Knowledge Distillation for Heterogenous Deep Human Activity Recognition Systems
Deep learning-based Human Activity Recognition (HAR) systems received a lot of interest for health monitoring and activity tracking on wearable devices. The availability of large and representative datasets is often a requirement for training accurate deep learning models. To keep private data on us...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823596/ https://www.ncbi.nlm.nih.gov/pubmed/36616609 http://dx.doi.org/10.3390/s23010006 |