Pengfei Gao

Title: Innovations of Pengfei Gao

Introduction

Pengfei Gao is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of data processing and model training, holding a total of seven patents. His work focuses on enhancing the accuracy and efficiency of data matching and model gradient updates.

Latest Patents

Among his latest patents is a data matching method, apparatus, and system. This innovative method involves inputting to-be-matched first data into a pre-trained vector transformation model to obtain a corresponding first vector and a binary vector. The process includes obtaining a first intermediate vector using an oblivious transfer protocol and determining a target distance between the first vector and a second vector based on predefined algorithms. Another notable patent is a model gradient update method and device aimed at improving model training accuracy. This method involves a central server executing a gradient update process, receiving first gradients from multiple nodes, and obtaining a second gradient based on these first gradients.

Career Highlights

Pengfei Gao has worked with notable companies such as China UnionPay Co., Ltd. and Robert Bosch GmbH. His experience in these organizations has contributed to his expertise in data processing technologies.

Collaborations

He has collaborated with professionals like Jun Yang and Yongkai Zhou, further enhancing his innovative capabilities.

Conclusion

Pengfei Gao's contributions to data matching and model training reflect his commitment to advancing technology. His patents demonstrate a deep understanding of complex data processes and their applications in various industries.