李艺璇
工学博士，讲师
E-mail：liyixuan@tyut.edu.cn；lyixuan@bupt.edu.cn
● 分布式人工智能，如联邦学习、多源异构数据处理等
● 无线通信技术，如物联网、边缘计算、算网资源分配等
2013.09-2017.06 太原科技大学 信息与计算科学 理学学士
2017.09-2024.06 北京邮电大学 信息与通信工程 工学博士
2024.07-至今 太原理工大学讲师
无
代表性论文：
1.Yixuan Li, Xiaoqi Qin, Hao Chen, Kaifeng Han, and Ping Zhang, Energy-Aware Edge Association for Cluster-Based Personalized Federated Learning, IEEE Transactions on Vehicular Technology, vol. 71, no. 6, pp. 6756-6761, June 2022.（JCR 1区， IF：6.8）
2.Yixuan Li, Xiaoqi Qin, Kaifeng Han, Nan Ma, Xiaodong Xu and Ping Zhang, Accelerating Wireless Federated Learning With Adaptive Scheduling Over Heterogeneous Devices, IEEE Internet of Things Journal, vol. 11, no. 2, pp. 2286-2302, 15 Jan.15, 2024.（JCR 1区，IF：10.6）
3.Yixuan Li, Xiaoqi Qin, Jiaxiang Geng, Rui Chen, Yanzhao Hou, Yanmin Gong, Miao Pan, and Ping Zhang, Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning Over Mobile Devices, IEEE Transactions on Mobile Computing, early access, doi: 10.1109/TMC.2024.3365477.（JCR 1区，IF：7.9）
4.Yixuan Li, Xiaoqi Qin, Miao Pan, and Ping Zhang, On Improving Federated Learning Training Efficiency over Contemporary Mobile AI Systems, submitted to IEEE Wireless Communications.（JCR 1区，IF：12.9）
5.Hao Chen, Xiaoqi Qin, Yixuan Li and Nan Ma, Energy-aware Path Planning for Obtaining Fresh Updates in UAV-IoT MEC systems, 2022 IEEE Wireless Communications and Networking Conference (WCNC), Austin, TX, USA, 2022, pp. 1791-1796. (EI Indexed)
6.Xinbei Li, Xiaoqi Qin, Zijing Wang, Yixuan Li, Nan Ma and Ping Zhang, Minimizing Real-time Estimation Error in IoT Networks via Noisy Past Observations, 2023 IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, 2023, pp. 1-6. (EI Indexed)
授权专利：
一种高能效的聚类联邦边缘学习策略生成方法和装置，秦晓琦、李艺璇、韩凯峰、张平，2024。 （发明专利）
