Abstract: Split learning (SL) aims to protect user data privacy by distributing deep models between the client-server and keeping private data locally. In SL training with multiple clients, the local ...
Abstract: Unsupervised domain adaption (UDA) has gained popularity in narrowing performance gaps across domains in remote sensing image semantic segmentation (RSISS). However, current UDA methods ...
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