3 papers
cs.LG2026
Lightweight Edge Learning via Dataset Pruning
Laha Ale, Hu Luo, Mingsheng Cao +3
Edge learning facilitates ubiquitous intelligence by enabling model training and adaptation directly on data-generating devices, thereby mitigating privacy risks and communication…
cs.LG2026
RPIQ: Residual-Projected Multi-Collaboration Closed-Loop and Single Instance Quantization for Visually Impaired Assistance
Xuanyu Wang, Haisen Su, Jingtao Zhang +9
Visually impaired users face significant challenges in daily information access and real-time environmental perception, and there is an urgent need for intelligent assistive system…
cs.LG2024
An Efficient Privacy-aware Split Learning Framework for Satellite Communications
Jianfei Sun, Cong Wu, Shahid Mumtaz +4
In the rapidly evolving domain of satellite communications, integrating advanced machine learning techniques, particularly split learning, is crucial for enhancing data processing…