Research on Open Innovation Intelligent Decision-Making of Cross-Border E-Commerce Based on Federated Learning

Product development and innovation is the key issue for cross-border e-commerce operation. It of great importance to build an intelligent open system maximize its proximity market demand with internationalization digital advantages e-commerce. Cross border data widely distributed among each node enterprise in supply chain. But enterprises will not share private learning sake security, which has become a difficulty problem decision-making innovation. This paper analyzes research status technical basis federated learning, builds model based on trains tests using from two participants, compares prediction effects whole local puts forward collaborative promotion strategy optimization learning.