Zhenan Sun

Title: Zhenan Sun: Innovator in Federated Learning

Introduction

Zhenan Sun is a prominent inventor based in Beijing, China. He has made significant contributions to the field of federated learning, with a focus on methods that enhance data privacy and model accuracy. With a total of 6 patents, his work is paving the way for advancements in machine learning technologies.

Latest Patents

One of Zhenan Sun's latest patents is titled "Disentangled personalized federated learning method via consensus representation extraction and diversity propagation." This innovative method involves receiving local consensus representation extraction models and unique representation extraction models from other nodes. The current node extracts representations of its data using these models and calculates mutual information to determine data distribution similarities. This process ultimately leads to the aggregation of a global consensus representation model.

Another notable patent is the "Method for updating a node model that resists discrimination propagation in federated learning." This method focuses on updating a node model to prevent discrimination propagation. It includes calculating a mean value of class feature distributions and a distribution weighted aggregation model. The model is updated based on various calculated terms, ensuring that the node model remains robust against discrimination.

Career Highlights

Zhenan Sun has worked with esteemed organizations such as the Chinese Academy of Sciences and Huawei Technologies Co., Limited. His experience in these institutions has allowed him to collaborate on cutting-edge research and development projects in the field of artificial intelligence and machine learning.

Collaborations

Throughout his career, Zhenan has collaborated with notable colleagues, including Qi Cheng Li and Yunlong Wang. These partnerships have contributed to the advancement of innovative solutions in federated learning.

Conclusion

Zhenan Sun's contributions to federated learning demonstrate his commitment to advancing technology while prioritizing data privacy. His innovative patents and collaborations highlight his role as a leading inventor in this rapidly evolving field.