Yan Kang

Title: Yan Kang: Innovator in Federation Learning Technologies

Introduction

Yan Kang is a prominent inventor based in Shenzhen, China. She has made significant contributions to the field of federation learning, particularly through her innovative patent. Her work focuses on enhancing model parameter training methods, which are crucial for the development of advanced machine learning systems.

Latest Patents

Yan Kang holds a patent for a "Model parameter training method, terminal, and system based on federation learning." This patent discloses a method that includes determining a feature intersection of a first sample from one terminal and a second sample from another terminal. The process involves training the first sample based on this feature intersection to create a mapping model, which is then shared with the second terminal. The method further includes predicting missing features and training a federation learning model based on parameters received from additional terminals. This innovative approach aims to improve the efficiency and accuracy of machine learning models.

Career Highlights

Yan Kang is currently employed at WeBank Co., Ltd., where she continues to push the boundaries of technology in the financial sector. Her work at WeBank has allowed her to apply her expertise in federation learning to real-world applications, contributing to the bank's innovative solutions.

Collaborations

Yan collaborates with talented colleagues, including Yang Liu and Tianjian Chen. These partnerships enhance her research and development efforts, fostering a collaborative environment that drives innovation.

Conclusion

Yan Kang is a key figure in the field of federation learning, with her patent showcasing her innovative approach to model parameter training. Her contributions at WeBank and collaborations with fellow researchers highlight her commitment to advancing technology.