作者：
Ghosh U.;Das D.;Chatterjee P.;Shillingford N.
通讯作者：
Das, D.
作者机构：
Department of CS and DS, Meharry Medical College, Nashville, TN, United States
Department of CSE, Narula Institute of Technology, West Bengal, Kolkata, India
Department of EE and CS, Howard University, Washington, DC, United States
通讯机构：
Department of CSE, West Bengal, India
语种：
英文
关键词：
Blockchain,Edge computing,Federated learning,Healthcare,Heart disease risk prediction,Privacy
期刊：
IFIP Advances in Information and Communication Technology
ISSN：
1868-422X
年：
2024
卷：
684 AICT
页码：
309-329
会议名称：
6th IFIP International Conference on Internet of Things, IFIP IoT 2023
会议时间：
2 November 2023 through 3 November 2023
摘要：
Heart disease is a term used to describe a range of conditions that affect the heart, such as coronary artery disease, heart failure, and arrhythmias. It is a leading cause of death globally and can be prevented or managed through lifestyle changes and medical treatments, such as medication and surgery. The use of federated learning and edge computing has become increasingly popular for machine learning tasks, especially in the healthcare domain. However, privacy and security concerns remain major challenges in the adoption of such technologies. In this article, we propose a blockchain-enabled federated edge-cloud framework for heart disease risk prediction to address the...
