Funder
National Natural Science Foundation of China
Reference41 articles.
1. M. M. Islam, S. Nooruddin, F. Karray, M. Ghulam, Multi-level feature fusion for multimodal human activity recognition in internet of healthcare things, Inf. Fusion 94 (2023) 17–31.
2. D. Deng, W. Zhao, X. Wu, T. Zhang, J. Zheng, J. Kang, D. Niyato, Decffd: A personalized federated learning framework for cross-location fault diagnosis, IEEE Transactions on Industrial Informatics 20 (5) (2024) 7082–7091. doi:10.1109/TII.2024.3353920.
3. P. S. Bouzinis, P. D. Diamantoulakis, G. K. Karagiannidis, Wireless quantized federated learning: A joint computation and communication design, IEEE Trans. Commun. 71 (5) (2023) 2756–2770.
4. B. McMahan, E. Moore, D. Ramage, S. Hampson, B. A. y Arcas, Communication-efficient learning of deep networks from decentralized data, in: Artificial intelligence and statistics, PMLR, 2017, pp. 1273–1282.
5. B. Liu, N. Lv, Y. Guo, Y. Li, Recent advances on federated learning: A systematic survey, Neurocomputing 597 (2024) 128019. doi:https://doi.org/10.1016/j.neucom.2024.128019.