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  • Alawadi, Sadi, 1983-, et al. (author)
  • A Federated Interactive Learning IoT-Based Health Monitoring Platform
  • 2021
  • In: New Trends in Database and Information Systems. - Cham : Springer. ; , s. 235-246, s. 235-246
  • Conference paper (peer-reviewed)abstract
    • Remote health monitoring is a trend for better health management which necessitates the need for secure monitoring and privacy-preservation of patient data. Moreover, accurate and continuous monitoring of personal health status may require expert validation in an active learning strategy. As a result, this paper proposes a Federated Interactive Learning IoT-based Health Monitoring Platform (FIL-IoT-HMP) which incorporates multi-expert feedback as ‘Human-in-the-loop’ in an active learning strategy in order to improve the clients’ Machine Learning (ML) models. The authors have proposed an architecture and conducted an experiment as a proof of concept. Federated learning approach has been preferred in this context given that it strengthens privacy by allowing the global model to be trained while sensitive data is retained at the local edge nodes. Also, each model’s accuracy is improved while privacy and security of data has been upheld. 
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  • Result 1-1 of 1
Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Kebande, Victor R. (1)
Alawadi, Sadi, 1983- (1)
Persson, Jan A. (1)
Olsson, Carl Magnus (1)
Dong, Yuji (1)
Bugeja, Joseph (1)
University
Uppsala University (1)
Luleå University of Technology (1)
Malmö University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year
2021 (1)

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