软件部署
系统回顾
转化式学习
计算机科学
医疗保健
数据科学
计算机安全
知识管理
医学文献
互联网隐私
梅德林
健康
信息隐私
全球卫生
健康数据
数字健康
电子健康
科学文献
对抗制
万维网
块链
医疗保健系统
风险分析(工程)
卫生信息交流
保密
作者
Xudong Wang,Yi Xie,Xiaoliang Chen,Jiaming Yang,Ruiyuan Li,Weihang Gao,Zineng Yan,Hong Zhou,Zhewei Ye
摘要
BCFL represents a transformative paradigm for secure, collaborative, and privacy-preserving medical AI. By combining decentralized trust, incentive-driven participation, and privacy-enhancing machine learning, BCFL paves the way for next-generation smart health care systems. Despite current technical and practical challenges, BCFL demonstrates strong potential to support precision medicine, global health data collaboration, and large-scale AI deployment in health care.
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