Ziyi Li

Title: Ziyi Li: Innovator in Federated Learning Technology

Introduction

Ziyi Li is a prominent inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence and machine learning, particularly through his innovative patent related to federated learning.

Latest Patents

Ziyi Li holds a patent titled "Federated learning across UE and RAN." This patent describes an apparatus and system designed to provide a federated learning scheme between a Radio Access Network (RAN) and connected User Equipments (UEs). The invention involves a central server, which can be a gNB-DU, gNB-CU, or LMF, that selects and trains an AI/ML model. The central server transmits the AI/ML model to UEs, which act as local nodes. Each UE sends a model request to the central server, receives the AI/ML model, trains it locally with data, and reports updated parameters back to the central server. The central server then aggregates parameters from the local nodes and updates the AI/ML model accordingly.

Career Highlights

Ziyi Li is currently employed at Intel Corporation, where he continues to work on cutting-edge technologies in the field of AI and machine learning. His expertise and innovative approach have positioned him as a key player in the development of advanced systems that leverage federated learning.

Collaborations

Ziyi Li collaborates with talented individuals in his field, including Alexander Sasha Sirotkin and Youn Hyoung Heo. These collaborations enhance the research and development efforts within his projects.

Conclusion

Ziyi Li's contributions to federated learning technology exemplify the innovative spirit of modern inventors. His work at Intel Corporation and his patent on federated learning highlight the importance of collaboration and advancement in artificial intelligence.