Research on Multi-Institution Data Fusion Methods Based on Cloud-Edge Collaboration and Federated Learning
收藏科学数据银行2025-08-27 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=921943f9f2b740caa25eb4610c9a54c8
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资源简介：
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.
提供机构：
山西财经大学
创建时间：
2025-08-27
