Abstract: Decentralized Federated Learning (DFL) enables collaborative model training without a central server but faces challenges in efficiency, stability, and trustworthiness due to communication ...
Abstract: Existing high-performance semantic segmentation methods for remote sensing often struggle with the tradeoff between inference efficiency and high-resolution processing, especially in ...
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