李艺伟，男，博士，讲师，硕士生导师。博士毕业于台湾清华大学，香港中文大学（深圳）访学博士，师从祁忠勇教授和张纵辉教授。2024年10月入职厦门理工学院光电与通信工程学院。2025年入选福建省高层次人才B类和厦门市高层次留学人才。
主要研究方向包括机器学习、深度学习、大数据安全与隐私保护、优化理论及其在无线通信、物联网中的应用。已发表SCI论文20余篇，论文引用1070余次。现担任人工智能领域期刊《AI and Autonomous System》和《AI & Innovation》的青年编委。
电子邮箱：lywei0306@xmut.edu.cn
研究生培养及招生
课题组致力于人工智能前沿理论与应用研究，重点关注联邦学习、分布式优化、安全可信机器学习、资源受限边缘智能等前沿交叉方向，并结合无线通信网络、物联网和移动边缘计算等典型应用场景，探索安全、高效的智能计算方法。
（1）面向隐私保护与安全可信的机器学习理论与算法。研究差分隐私、安全聚合、鲁棒优化等关键技术，构建安全机器学习算法与理论分析框架。
（2）面向复杂数据分析的大数据智能处理方法。围绕多源异构数据、小样本数据和弱标注数据等复杂数据建模问题，研究无监督学习、半监督学习和个性化学习方法，并探索其在工业数据、临床数据等场景中的应用。
（3）面向无线通信和物联网场景的分布式优化与边缘智能算法。结合无线网络中通信资源受限、设备异构、链路不稳定等约束，设计高效的分布式机器学习算法。
欢迎对人工智能理论和应用感兴趣，具有一定编程基础、科研兴趣和主动学习意识的同学加入课题组。有意者请将个人简历发送至邮箱。
主持科研项目
（1）主持厦门市留学人才项目，面向异构边缘网络的联邦学习与通信资源高效协同机制研究，2025/09 - 至今，10万元，在研。
（2）主持厦门市自然科学基金面上项目，面向边缘智能网络的联邦学习关键技术研究，2025/05 - 至今，8万元，在研。
（3）主持厦门理工学院高层次人才项目，边缘联邦学习系统中的差分隐私理论研究与隐私保护算法设计，2024/11 - 至今，15万元，在研。
代表性学术论文
期刊论文 (*表示通讯作者)
1.Yiwei Li, Shuai Wang, Zhuojun Tian, Xiuhua Wang, Shijian Su*, "Federated Learning With Enhanced Privacy via Model Splitting and Random Client Participation," IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 8225-8238, 2026.
2. Zhuojun Tian, Zhaoyang Zhang*, Yiwei Li, Mehdi Bennis, "Communication-efficient personalized distributed learning with data and node heterogeneity," IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 575-589, 2026.
3.Yiwei Li, Shuai Wang, Tsung-Hui Chang*, "Differentially private federated stochastic primal-dual learning for Internet of Vehicles," IEEE Internet of Things Journal, vol. 12, no. 11, pp. 17034-17050, 2025.
4. Xiuhua Wang, Shuai Wang*, Yiwei Li*, Fengrui Fan, Shikang Li, Xiaodong Lin, "Differentially private and heterogeneity-robust federated learning with theoretical guarantee," IEEE Transactions on Artificial Intelligence, vol. 5, no. 12, pp. 6369-6384, 2024.
5. Yiwei Li, Hong-Xia Ren, Chong-Yung Chi, Yang-Bao Miao*, "Artificial intelligence-guided gut-microenvironment-triggered imaging sensor reveals precision prediction of Parkinson's disease," Advanced Science, vol. 11, no. 23, pp. 2307819, 2024.
6. Yiwei Li, Chien-Wei Huang, Shuai Wang*, Chong-Yung Chi, and Tony Q. S. Quek, "Privacy-preserving federated primal-dual learning for non-convex and non-smooth problems with model sparsification," IEEE Internet of Things Journal, vol. 11, no. 15, pp. 25853-25866, 2024.
7.Yiwei Li, Shuai Wang*, Chong-Yung Chi, and Tony Q. S. Quek, "Differentially private federated clustering over non-iid data," IEEE Internet of Things Journal, vol. 11, no. 4, pp. 6705-6721, 2024.
8.Yiwei Li, Shuai Wang*, Chong-Yung Chi, and Tony Q. S. Quek, "Differentially private federated learning in edge networks: The perspective of noise reduction," IEEE Network, vol. 36, no. 5, pp. 167–172, 2022.
9. Yiwei Li*, Ghassemlooy Z., Xuan Tang, Bangjiang Lin, Yi Zhang, "A VLC smartphone camera based indoor positioning system," IEEE Photonics Technology Letters, vol. 30, no. 13, pp. 1171-1174, 2018.
会议论文
1. Yiwei Li, Shuai Wang, Zhuojun Tian, Xiuhua Wang, Shijian Su, "Privacy amplification via random client check-Ins and data subsampling in federated learning," in Proc. International Conference on Computer and Communication Systems (ICCCS 2026), April, 2026, Wuhan China.
2. Xiuhua Wang, Shikang Li, Fengrui Fan, Shuai Wang, Yiwei Li and Yu Zheng, "Improving Byzantine-resilience in federated learning via diverse aggregation and adaptive variance reduction," in Proc. International Conference on Information and Communications Security (ICICS), Oct. 2025, Nanjing, China.
3. Yiwei Li, Chien-Wei Huang, Shuai Wang, Chong-Yung Chi, and Tony Q. S. Quek, "Privacy-preserving federated primal-dual learning for non-convex problems with non-smooth regularization," in Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep. 2023, Rome, Italy.
4. Meng-Hsuan Lin, Yiwei Li, Shuai Wang, Ruihong Jiang, Chong-Yung Chi, "A convex optimization assisted DDQL algorithm for computing resource allocation in space-aerial integrated network," in Proc. IEEE Vehicular Technology Conference (VTC)–Spring, June, 2023, Florence, Italy.
5. Yiwei Li, Tsung-Hui Chang and Chong-Yung Chi, "Secure federated averaging algorithm with differential privacy," in Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep. 2020, Espoo, Finland.
发明专利
1. 李艺伟，王帅，王秀华; "基于异构联邦学习的模型防投毒攻击方法、介质和设备", 发明专利, 202511539398.0
2. 李艺伟，苏诗荐，王帅，王秀华; "基于联邦学习聚类的隐私保护方法、介质和设备", 发明专利, 202511540361X
3. 缪养宝, 李艺伟, 任红霞, "一种基于胃肠道极端条件触发的帕金森精准预测方法", 发明专利, 202310924889.1
4. 李艺伟, 汤璇, 林邦姜, 张士灏, "一种基于双极化MIMO的无线信道测量数据分析方法", 201610080075.4
