Suwon-si, South Korea

Yong Hoon Kang

This inventor holds 1 USPTO granted patent. Top assignee: Sungkyunkwan University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yong Hoon Kang. Retrieved from https://idiyas.com/inventor/yong-hoon-kang-chtc25e1

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yong Hoon Kang: Innovator in Federated Learning

Introduction

Yong Hoon Kang is a prominent inventor based in Suwon-si, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in the area of federated learning. His innovative approach addresses the challenges of training AI models using non-IID data.

Latest Patents

Yong Hoon Kang holds a patent for a "Method and apparatus for federated learning of artificial intelligence model using non-IID data." This patent outlines a method that includes training local artificial intelligence models using data sets from multiple clients. The process involves calculating performance values for these models and determining which client to retain for further training, ultimately leading to the development of a global model.

Career Highlights

Kang is affiliated with Sungkyunkwan University, where he continues to advance research in artificial intelligence. His work has garnered attention for its practical applications in various industries, enhancing the efficiency of AI model training.

Collaborations

Yong Hoon Kang has collaborated with notable colleagues, including Seok Kyu Kang and Jee Hyong Lee. Their joint efforts contribute to the ongoing research and development in the field of artificial intelligence.

Conclusion

Yong Hoon Kang's innovative work in federated learning exemplifies the potential of artificial intelligence to transform industries. His contributions are paving the way for more efficient AI model training methods.

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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