Young-Choon Woo

Title: Young-Choon Woo: Innovator in Distributed Deep Learning Technologies

Introduction

Young-Choon Woo is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of distributed deep learning, holding a total of four patents. His work focuses on enhancing the efficiency and effectiveness of deep learning processes through innovative methods and systems.

Latest Patents

One of Young-Choon Woo's latest patents is titled "Parameter server and method for sharing distributed deep learning parameter using the same." This invention discloses a parameter server and a method for sharing distributed deep-learning parameters. The method includes initializing a global weight parameter in response to an initialization request by a master process. It also involves performing updates by receiving learned local gradient parameters from worker processes, which conduct deep-learning training after updating local weight parameters using the global weight parameter. The process accumulates gradient parameters in response to requests from the master process and updates the global weight parameter based on the accumulated gradient parameters from one or more worker processes.

Career Highlights

Young-Choon Woo is affiliated with the Electronics and Telecommunications Research Institute, where he continues to push the boundaries of technology in telecommunications and electronics. His innovative work has positioned him as a key figure in the advancement of distributed deep learning systems.

Collaborations

Throughout his career, Young-Choon Woo has collaborated with talented individuals such as Shin-Young Ahn and Eun