Research on Multi-Institution Data Fusion Methods Based on Cloud-Edge Collaboration and Federated Learning
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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.
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Science Data Bank创建时间：
2025-12-02
