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...
Saved in:
Main Authors: | , , , , , , |
---|---|
其他作者: | |
格式: | Article |
語言: | English |
出版: |
2024
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/181039 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|