Guangzhou, China

Jiacheng Xu

This inventor holds 1 USPTO granted patent. Top assignee: Guangdong University of Technology. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jiacheng Xu. Retrieved from https://idiyas.com/inventor/jiacheng-xu-xhvb8qqx

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Jiacheng Xu in Federated Learning Frameworks

Introduction

Jiacheng Xu is an innovative inventor based in Guangzhou, China. He has made significant contributions to the field of federated learning, particularly in the context of the Internet of Vehicles. His work focuses on enhancing the capabilities and security of learning frameworks through advanced methodologies.

Latest Patents

Jiacheng Xu holds a patent titled "Cybertwin-based method for constructing two-layer federated learning framework for internet of vehicles." This patent describes a method that constructs a two-layer federated learning system specifically designed for the Internet of Vehicles. The method involves dividing a cybertwin network framework into three layers: a central cloud server, an edge cloud server, and a vehicle device. The central cloud server is connected to a server preset in the central cloud, while the edge cloud server is linked to a roadside unit preset in the vehicle device. This innovative approach expands federated learning scenarios and enhances the system's ability to resist backdoor attacks. He has 1 patent to his name.

Career Highlights

Jiacheng Xu is affiliated with the Guangdong University of Technology, where he contributes to research and development in advanced learning frameworks. His academic background and research focus have positioned him as a key figure in the field of federated learning.

Collaborations

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Conclusion

Jiacheng Xu's work in developing a cybertwin-based method for federated learning frameworks represents a significant advancement in the field. His contributions are paving the way for more secure and efficient systems in the Internet of Vehicles.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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