A real-time federated TinyML framework for student behavior detection in smart classrooms
Smart classrooms increasingly require intelligent systems capable of detecting student behaviors in real time while preserving privacy and operating under limited computational resources. However, many existing approaches rely on centralized training and high-complexity deep learning models, limiting their suitability...