Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things
Thapar Institute of Engineering & Technology · National University of Malaysia · +8 more institutions
Abstract
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help healthcare providers decide about post‐COVID‐19 care and follow‐up where the data privacy is another severe concern. The authors investigate the applicability of a distributed reinforcement learning approach in a Federated Learning (FL) multi‐disciplinary reinforcement system and explores the potential benefits of incorporating Blockchain Technology (BT) in the…
Citation impact
- FWCI
- 37.13
- Percentile
- 100%
- References
- 37
Authors
10- CDChandramohan Dhasaratha
Thapar Institute of Engineering & Technology
- MKMohammad Kamrul Hasan
National University of Malaysia
- SIShayla Islam
UCSI University
- SKShailesh Khapre
International Institute of Information Technology, International Institute of Information Technology
- SASalwani Abdullah
National University of Malaysia
Topics & keywords
- Blockchain
- Internet of Things
- Scalability
- Reinforcement learning
- Computer science
- Information privacy
- Internet privacy
- Computer security