跨域协同学习建模平台的设计与实现

In this paper, we design and implement a cross-domain collaborative learning modeling platform using the "1-N" model, which supports collaborative operations between the central and edge ends. The platform aims to address collaborative modeling under data privacy protection without the need to share original data. The edge subsystem aggregates digital resources and connects to the central end through encrypted model parameter exchange. The central subsystem comprehensively manages core business activities, constructs model task flowcharts to display the design architecture, and supports real-time monitoring, enabling users to engage in autonomous collaborative modeling while protecting data privacy. The platform\'s hierarchical strategy realizes intelligent management of "data-projects-applications," promoting public sharing and group collaboration through a marketplace portal and message center. The platform not only enhances the efficiency of data processing and collaborative modeling but also strengthens the protection of data privacy and security, offering a new solution for open data services and cross-domain collaborative modeling fields.