This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Jun Fang: Inventor in Privacy-Preserving Machine Learning
Introduction
Jun Fang is an inventor based in Irvine, California. His patent work addresses privacy and performance in machine-learning model training.
Latest Patents
Fang is associated with 1 patent: “Differentially Private Open-Classification Machine Learning Model Training with Adaptive Clipping.” The invention describes methods for limiting the noise and influence that an individual training-data member contributes to a model. It also describes adaptively adjusting those limits to reflect the privacy needs of members in the dataset, including in open-classification training.
Career Highlights
Fang is associated with Amazon Technologies, Inc. His patent focuses on techniques for training machine-learning models while balancing privacy protections with model performance.
Collaborations
Fanzi Wu is identified as Fang’s coworker.
Conclusion
Jun Fang’s patent work highlights adaptive clipping as an approach to privacy-conscious machine-learning training.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile