Author:
Hu Youqiang,Huang Hejiao,Yu Nuo
Funder
Shenzhen Science and Technology Program
Anhui Provincial Natural Science Foundation
Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. McMahan, B., Moore, E., Ramage, D., Hampson, S., & Arcas, B. A. (2017). Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics (pp. 1273–1282).
2. Chen, M., Yang, Z., Saad, W., Yin, C., Poor, H. V., & Cui, S. (2020). A joint learning and communications framework for federated learning over wireless networks. IEEE Transactions on Wireless Communications, 20, 269–283.
3. López, O. L., Alves, H., Souza, R. D., Montejo-Sánchez, S., Fernández, E. M. G., & Latva-Aho, M. (2021). Massive wireless energy transfer: Enabling sustainable IoT toward 6G era. IEEE Internet of Things Journal, 8(11), 8816–8835.
4. Zhang, R., & Ho, C. K. (2013). Mimo broadcasting for simultaneous wireless information and power transfer. IEEE Transactions on Wireless Communications, 12(5), 1989–2001.
5. Bi, S., Zeng, Y., & Zhang, R. (2016). Wireless powered communication networks: An overview. IEEE Wireless Communications, 23(2), 10–18.