Abstract: Split learning is a distributed learning technique that enables multiple data owners to collaboratively train deep learning models without sharing their raw data, thereby pre-serving privacy ...
Abstract: Several essential services, such as cellular phones, the Internet, television, navigation, weather prediction, and remote sensing, rely on satellites in low-Earth orbits, the technology for ...
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