This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignees: Beihang University, Beijing Baidu Netcom Science and Technology Co., Ltd.. Active years: 2022-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2022-2026
Title: Derun Zhao: Innovator in Privacy-Preserving Computation
Introduction
Derun Zhao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of privacy-preserving computation technologies. With a total of 3 patents, Zhao's work focuses on enhancing security and efficiency in computational methods.
Latest Patents
Zhao's latest patents include a "Privacy-preserving computation method and apparatus for secure three-party matrix hybrid multiplication." This invention addresses the secure three-party matrix hybrid multiplication problem by constructing protocols for both two-party and three-party matrix multiplications. The method allows for high-efficient and reliable privacy-preserving computation among participants.
Another notable patent is the "Privacy-preserving computation method and system for secure three-party linear regression." This method involves processing private matrices to obtain regression coefficients while ensuring the privacy of the data involved. The innovative approach enhances the security of linear regression computations in collaborative environments.
Career Highlights
Throughout his career, Derun Zhao has worked with esteemed organizations such as Beihang University and Beijing Baidu Netcom Science and Technology Co., Ltd. His experience in these institutions has allowed him to develop and refine his expertise in privacy-preserving computation.
Collaborations
Zhao has collaborated with notable individuals in his field, including Haogang Zhu and Shizhao Peng. These partnerships have contributed to the advancement of his research and innovations.
Conclusion
Derun Zhao is a key figure in the realm of privacy-preserving computation, with a focus on secure methods that enhance data privacy. His contributions through patents and collaborations continue to shape the future of computational technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile