MHAT-FL: An Open-Source TensorFlow Framework for Federated Human Activity Recognition with Attention-Matrix Positional Encoding
Human Activity Recognition (HAR) systems deployed on wearable and edge devices continuously collect sensitive user data, raising critical privacy concerns and communication bottlenecks. While Federated Learning (FL) mitigates these issues by decentralizing model training and keeping raw data on-device, deploying highly...