Minghui Wu

Title: Innovations and Contributions of Inventor Minghui Wu

Introduction

Minghui Wu is a prominent inventor based in Hangzhou, China. He has made significant contributions to the fields of data privacy and security through his innovative patents. With a total of 2 patents, his work focuses on enhancing the protection of sensitive information in various applications.

Latest Patents

Minghui Wu's latest patents include a "Data maximum/minimum value aggregation method and system for privacy protection." This invention utilizes a Paillier cryptosystem to encrypt user data, ensuring the privacy and security of user health data. The method allows a control center to obtain an overall health condition of a client during a specific aggregation period while maintaining data privacy. Another notable patent is the "Privacy protection method and system for financial data sharing based on federated learning." This system addresses the challenges of sharing data across institutions while adhering to data privacy laws. By employing privacy collection intersection technology, it enables different entities to jointly train a learning model without compromising customer data.

Career Highlights

Minghui Wu has held positions at notable institutions, including Hangzhou City University and Zhejiang Gongshang University. His academic and research endeavors have significantly influenced the development of privacy protection technologies.

Collaborations

Minghui Wu has collaborated with esteemed colleagues such as Song Han and Siqi Ren. Their joint efforts have contributed to advancing research in data privacy and security.

Conclusion

Minghui Wu's innovative patents and contributions to data privacy and security highlight his role as a leading inventor in his field. His work continues to impact how sensitive information is managed and protected in various sectors.