Enhancing Human Activity Recognition with FedPA: Focusing on Non-IID Data Challenges in Federated Learning
(2024)
Journal Article
Wen, X., Wang, Y., Yuan, M., Geng, Y., Yu, H., & Zheng, G. (online). Enhancing Human Activity Recognition with FedPA: Focusing on Non-IID Data Challenges in Federated Learning. IEEE Sensors Journal, https://doi.org/10.1109/jsen.2024.3465593
Federated Learning (FL) revolutionizes distributed learning in Human Activity Recognition (HAR) by allowing clients to train models locally and share only model parameters, thus optimizing data usage and mitigating privacy concerns. However, the pres... Read More about Enhancing Human Activity Recognition with FedPA: Focusing on Non-IID Data Challenges in Federated Learning.