Research on Multi-Institution Data Fusion Methods Based on Cloud-Edge Collaboration and Federated Learning

Set up independent identically distributed scenarios and low, medium, and high heterogeneity non independent identically distributed scenarios on the MNIST, CIFAR-10, and CIFAR-100 datasets to test the performance of the model in various complex scenarios. Including CEFDFM-MI model code, experimental data, and baseline model.