Federated Learning and Blockchain-Enabled Fog-IoT Platform for Wearables in Predictive Healthcare
Author:
Affiliation:
1. School of Engineering, University of Guelph, Guelph, Canada
2. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
Funder
Natural Sciences and Engineering Research Council (NSERC) of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/6570650/10201450/10018895.pdf?arnumber=10018895
Reference36 articles.
1. Leveraging IoT Wearable Technology Towards Early Diagnosis of Neurological Diseases
2. TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition
3. Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions
4. Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
5. Deep Learning-based Privacy Preservation and Data Analytics for IoT Enabled Healthcare
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