Research on Medical Education Collaborative Data Security Model Based on Federated Learning
This article conducts research on data sharing and privacy security issues in the medical field,and proposes a medical education collaborative data security model based on federated learning.Firstly,the privacy breaches and security risks in medical data sharing were introduced,as well as the limitations of traditional centralized data training methods.Subsequently,the basic principles and advantages of federated learning were elaborated,as well as its potential applica-tions in medical education collaborative data security.On this basis,a medical education collabo-rative data security model based on federated learning is proposed,which has promotion value for deepening medical education collaboration in protecting data privacy,implementing distribu-ted data cooperation,improving data security and diversity.
万方数据
维普
