马振国，男，中国矿业大学计算机学院准聘副教授。2023年于中国科学技术大学计算机学院获工学博士学位，师从徐宏力教授，主要从事边缘智能网络、联邦学习等领域的研究。
近年来，围绕边缘智能网络资源优化与联邦学习训练性能优化等核心问题，在高质量期刊/会议上发表学术论文15篇，其中一作/通讯论文8篇（4篇CCF A，1篇中科院Top），并有1篇文章入选ESI高被引论文；申请发明专利8项，其中2项已授权。
参与国家级科研项目3项，包括国家自然科学基金重点项目2项，科技部重点研发计划课题1项。
联系方式：cs_zgma@cumt.edu.cn
代表性论著（*通讯作者）：
Zhenguo Ma, *Yanjing Sun, Hongli Xu, *Jianchun Liu, Bowen Wang, Kaiwen Dong, Zixuan He. AdaFUN: Enhancing Federated Unlearning with Adaptive Local Step in Edge Computing[J]. IEEE Transactions on Services Computing, 2026, early access: 1-14. (CCF A)
Zhenguo Ma, Zixuan He, *Yanjing Sun, Hongli Xu, Jianchun Liu, Yang Xu, Yafei Lu, Rui Zhang. Enhancing Federated Unlearning Using Catastrophic Forgetting in Heterogeneous Industrial Internet of Things[J]. Computer Communications, 2026(252): 108497. (CCF C)
马振国, 和孜轩, *孙彦景, 王博文, 刘建春, 徐宏力. 基于自适应模型剪枝的联邦遗忘学习方法研究[J]. 电子与信息学报, 2025, 47(11): 4515-4524. (CCF 中文T1)
Zhenguo Ma, *Huaqing Tu, Li Zhou, *Pengli Ji, Xiaoran Yan, Hongli Xu, Zhiyuan Wang, Suo Chen. Hier-FUN: Hierarchical Federated Learning and Unlearning in Heterogeneous Edge Computing [J]. IEEE Internet of Things Journal, 2025, 12(7): 8653-8668. (中科院Top)
Yang Xu, *Zhenguo Ma, Hongli Xu, Suo Chen, Jianchun Liu, Yinxing Xue. FedLC: Accelerating Asynchronous Federated Learning in Edge Computing [J]. IEEE Transactions on Mobile Computing, 2023, 23(5): 5327-5343. (CCF A)
Suo Chen, *Zhenguo Ma, Zhiyuan Wang. Accelerating Hierarchical Federated Learning with Adaptive Aggregation Frequency in Edge Computing[C]//Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things. 2023: 990-995. (EI)
Zhenguo Ma, *Yang Xu, Hongli Xu, Jianchun Liu, Yinxing Xue. Like Attracts Like: Personalized Federated Learning in Decentralized Edge Computing [J]. IEEE Transactions on Mobile Computing, 2022, 23(2): 1080-1096. (CCF A)
Zhenguo Ma, *Yang Xu, *Hongli Xu, et al. Adaptive Batch Size for Federated Learning in Resource-Constrained Edge Computing [J]. IEEE Transactions on Mobile Computing, 2021, 22(1): 37-53. (CCF A，ESI高被引)