Guest Editorial Federated Learning for Privacy Preservation of Healthcare Data in Internet of Medical Things and Patient Monitoring
Author:
Affiliation:
1. Vellore Institute of Technology, Vellore, India
2. Charles Darwin University, Casuarina, NT, Australia
3. Karunya Uiversity, Coimbatore, India
4. City University of Hong Kong, Hong Kong SAR
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10036335/10036342.pdf?arnumber=10036342
Reference7 articles.
1. FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Systems
2. EPPDA: An Efficient Privacy-Preserving Data Aggregation Federated Learning Scheme
3. Blockchain-Based Two-Stage Federated Learning With Non-IID Data in IoMT System
4. Secure-Enhanced Federated Learning for AI-Empowered Electric Vehicle Energy Prediction
5. DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems
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5. Securing Internet-of-Medical-Things networks using cancellable ECG recognition;Scientific Reports;2024-05-13
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