Natural neighbor can adaptively identify clusters of arbitrary shape. However, it is often difficult to obtain satisfactory clustering results when dealing with complex datasets. To solve this issue, ...
Abstract: In hierarchical federated learning, client selection is typically performed at edge servers and the central server. Edge servers perform intermediate model aggregation before transmitting ...
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