韩晓明 讲师

联系方式：

E-mail：277603514@qq.com

研究方向：

人工智能系统，高性能计算，分布式深度学习

教育背景与工作经历：

2009.8-2013.6 获内蒙古大学软件工程学士学位

2016.9-2019.9 获厦门大学计算机技术硕士学位

2019.9-2020.8 厦门建信金融科技有限责任公司数据工程师

2020.9-2025.6 获武汉大学计算机科学与技术专业博士学位

2025.8-至今 厦门理工学院电气工程与自动化学院工作

讲授课程：

计算机组成原理、人工智能通信技术

科研及教学成果：

1. Xiaoming Han, Boan Liu, Chuang Hu, Dazhao Cheng#. “OWL: Worker-assisted server bandwidth

optimization for efficient communication federated learning” [J], Journal of Parallel and Distributed Computing, 2025, 198: 105027.（CCF B刊）

2. Xiaoming Han, Boan Liu, Dazhao Cheng#. “JediGAN: A Fully Decentralized Training of GAN with Adaptive Discriminator Averaging and Generator Selection” [C], IEEE IFIP International Conference on Network and Parallel Computing, 2024, Available at SSRN 4809391.（CCF C 会）

3. Xiaoming Han, Boan Liu, Dazhao Cheng#. “Diffindo: Accelerating Distributed GANs with Auxiliary Generators and Discriminators” [C], IEEE International Conference on High Performance Computing and Communications, 2024, Available at SSRN 4809391.（CCF C 会）

4. Liang H H,Yang X, Xiaoming Han, et al. “Spread+: Scalable Model Aggregation in Federated Learning with Non-IID Data” [J]. IEEE Transactions on Parallel and Distributed Systems, 2025.

5. Hu C, Liang H H, Xiaoming Han, et al. “Spread: Decentralized model aggregation for scalable federated learning” [C]. Proceedings of the 51st International Conference on Parallel Processing. 2022: 1-12.5.（CCF B 会）