This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Zhejiang University. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Xiaoyang Hou in Federated Learning
Introduction
Xiaoyang Hou is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of federated learning, particularly in clustering algorithms. His innovative approach has the potential to enhance data privacy and efficiency in machine learning applications.
Latest Patents
Xiaoyang Hou holds a patent for a federated learning method for a k-means clustering algorithm. This patent outlines a systematic approach to horizontal and vertical federated learning. The method includes initializing clusters, distributing local samples, calculating new cluster centers, and iterating until convergence is achieved.
Career Highlights
Xiaoyang Hou is affiliated with Zhejiang University, where he continues to advance research in machine learning and artificial intelligence. His work has garnered attention for its practical applications in various industries, emphasizing the importance of data privacy in modern technology.
Collaborations
Xiaoyang collaborates with notable colleagues such as Rui Zhang and Zhihua Tian. Their combined expertise contributes to the ongoing research and development in the field of federated learning.
Conclusion
Xiaoyang Hou's innovative work in federated learning represents a significant advancement in clustering algorithms. His contributions are paving the way for more secure and efficient machine learning practices.