Minwei Feng

Title: Minwei Feng: Innovator in Machine Learning Applications

Introduction

Minwei Feng is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of machine learning, particularly in the area of parameter data sharing for multi-learner training applications. His innovative work has garnered attention and recognition within the tech community.

Latest Patents

Minwei Feng holds a patent titled "Parameter data sharing for multi-learner training of machine learning applications." This patent describes a machine that receives a first set of global parameters from a global parameter server. Multiple learner processors within the machine execute an algorithm that models an entity type using the first set of global parameters and a mini-batch of data known to describe the entity type. The machine generates a consolidated set of gradients that describes a direction for the first set of global parameters to improve the accuracy of the algorithm in modeling the entity type. Subsequently, the machine transmits the consolidated set of gradients to the global parameter server and receives a second set of global parameters, which is a modification of the first set based on the consolidated gradients.

Career Highlights

Minwei Feng is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing machine learning technologies and enhancing their applications across various industries. With a patent portfolio that includes 1 patent, he continues to push the boundaries of innovation in his field.

Collaborations

Minwei has collaborated with notable colleagues, including Yufei Ren and Yandong Wang. Their combined expertise contributes to the development of cutting-edge solutions in machine learning and artificial intelligence.

Conclusion

Minwei Feng's contributions to machine learning and his innovative patent demonstrate his commitment to advancing technology. His work at IBM and collaborations with esteemed colleagues further highlight his role as a key player in the field.