Key points are not available for this paper at this time.
本文探讨了联邦学习与部署在AWS Lambda上的基于Java的企业应用的融合。文章介绍了一个框架,能够在数据分区之间实现去中心化模型训练,同时利用AWS S3、IAM和通过SQS及EventBridge的加密负载路由确保隐私合规性。该架构通过参与模型聚合而无数据泄露的Spring Boot API扩展J2EE遗留系统。评估了使用API Gateway、WAF和IAM角色的分层防御机制。通过医疗分析原型验证了该方法,能够在不集中处理PHI的情况下安全推断患者风险评分。
Building similarity graph...
Analyzing shared references across papers
Loading...
Chandra Sekhar Oleti
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Building similarity graph...
Analyzing shared references across papers
Loading...
Chandra Sekhar Oleti(周二)研究了这个问题。
www.synapsesocial.com/papers/6a086764113ba5b476de23b5 — DOI: https://doi.org/10.34218/ijcet_13_03_017
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: