An efficient privacy-aware split learning framework for satellite communications

In the rapidly evolving domain of satellite communications, integrating advanced machine learning techniques, particularly split learning, is crucial for enhancing data processing and model training efficiency across satellites, space stations, and ground stations. Traditional ML approaches often fa...

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Main Authors: Sun, Jianfei, Wu, Cong, Mumtaz, Shahid, Tao, Junyi, Cao, Mingsheng, Wang, Mei, Frascolla, Valerio
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2024
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在線閱讀:https://hdl.handle.net/10356/181039
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