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Xiaowen  Gong image

Xiaowen Gong

Research Centers Research Profile
Electrical and Computer Engineering
Godbold Associate Professor
217 Broun Hall
334.844.1851
xzg0017@auburn.edu
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Faculty and staff can submit directory updates here.

Education

Ph.D. Electrical and Computer Engineering, Arizona State University
M.S. Electrical and Computer Engineering, University of Alberta
B.S. Electronic and Information Engineering, Huazhong University of Science and Technology

Research Interests

Machine learning and AI in wireless networks
Edge computing
Network security

In The News

Associate professor in ECE advances artificial intelligence collaboration across devices regardless of connection speed

Xiaowen Gong demonstrates how smart devices can collaborate to build better AI models regardless of connection quality, turning network limitations from a barrier into a manageable constraint.

Professor in wireless engineering wins Best Paper runner-up by IEEE Internet of Things Journal

Xiaowen Gong's work, "When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network," recognized by IEEE

Professor in electrical engineering earns $500,000 NSF CAREER Award

Xiaowen Gong was awarded for his study, "Towards Efficient and Fast Hierarchical Federated Learning in Heterogeneous Wireless Edge Networks."