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CroSSHeteroFL: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients

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In the large-scale deployment of federated learning (FL) systems. the heterogeneity of clients. such as mobile phones and Internet of Things (IoT) devices with different configurations. constitutes a significant problem regarding fairness. https://herbsdailyes.shop/product-category/capsules-and-drops/
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