An efficient privacy-aware split learning framework for satellite communications

• Main Authors: Sun, Jianfei, Wu, Cong, Mumtaz, Shahid, Tao, Junyi, Cao, Mingsheng, Wang, Mei, Frascolla, Valerio
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Satellite communication; Split learning,
• Online Access: https://hdl.handle.net/10356/181039
• Institution: Nanyang Technological University

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...