This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: The Innovations of Taifeng Wang
Introduction
Taifeng Wang is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of machine learning, particularly in the area of asynchronous training of models. His work is recognized for its innovative approach to improving the efficiency and effectiveness of machine learning processes.
Latest Patents
Taifeng Wang holds 1 patent for his invention titled "Asynchronous Training of Machine Learning Model." This patent involves various implementations that relate to the asynchronous training of a machine learning model. In this process, a server receives feedback data generated by training the model from a worker. The feedback data is obtained using the worker's own training data and is associated with previous values of a set of parameters of the machine learning model at the worker. The server then determines the differences between the previous values and the current values of the set of parameters. This allows for updates to be made based on feedback data and differences, compensating for delays between different workers.
Career Highlights
Taifeng Wang is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work at Microsoft has positioned him as a key player in the development of machine learning technologies.
Collaborations
Some of Taifeng Wang's notable coworkers include Wei Chen and Tie-Yan Liu. Their collaborative efforts contribute to the ongoing research and development in the field of machine learning.
Conclusion
Taifeng Wang's contributions to the field of machine learning through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the way machine learning models are trained and optimized.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
