This inventor holds 1 USPTO granted patent. Top assignee: Zhejiang Agricultural and Forestry University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Hailin Feng: Innovator in Vehicle Networking Security
Introduction
Hailin Feng is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of vehicle networking security through his innovative patent. His work focuses on enhancing the safety and reliability of vehicle communication systems.
Latest Patents
Hailin Feng holds a patent titled "Method for constructing a vehicle networking intrusion detection model based on federated learning." This patent presents a method that involves decoupling a local model into a feature extractor and a classifier. The process includes selecting vehicle clients with higher similarity, collecting local feature extractors, and aggregating classifiers to form an evaluation model. The method aims to improve the detection of intrusions in vehicle networks by utilizing federated learning techniques.
Career Highlights
Hailin Feng is affiliated with Zhejiang Agricultural and Forestry University, where he contributes to research and development in vehicle networking technologies. His academic background and expertise have positioned him as a key figure in the field.
Collaborations
Hailin Feng collaborates with notable colleagues, including Kai Fang and Wei Wang. Their combined efforts enhance the research output and innovation in vehicle networking security.
Conclusion
Hailin Feng's work exemplifies the intersection of technology and safety in the automotive industry. His innovative patent contributes to the advancement of vehicle networking security, showcasing his commitment to improving safety in modern transportation systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile