Abstract: Federated learning (FL) is a promising technology for data privacy and distributed optimization, but it suffers from data imbalance and heterogeneity among clients. Existing FL methods try ...
Abstract: Federated Learning (FL) is a privacy-preserving distributed Machine Learning (ML) technique. Hierarchical FL is a novel variant of FL applicable to networks with multiple layers. Instead of ...
Abstract: Optical imagery ship detection has achieved significant developments recently. However, accurate detection in complex scenes and for different-scale ships remains a vital challenge. To solve ...
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