Profile-aided distillation framework for personalized sleep analysis with compact models using LLM-guided synthetic data

These results demonstrate that the proposed framework offers a practical and effective solution for enabling personalized sleep analysis and user interaction in resource-constrained environments, bridging the gap between high-performance modeling and real-time, on-device healthcare applications.