Jae Pyoung Kim

Title: Jae Pyoung Kim and Quantum Federated Learning

Introduction

Jae Pyoung Kim is an inventor based in Seoul, South Korea. His patent work includes a system and method for quantum federated learning, developed in connection with Korea University Research and Business Foundation.

Latest Patents

Kim is associated with 1 patent: “Quantum Federated Learning System and Method.” The invention describes a global server that initializes a quantum slimmable neural network (QSNN) model and sends it to local devices. Those devices train the model using observation values from a single-hop offloading environment, then return the trained model’s parameters to the global server. The approach is intended to address challenges in conventional federated learning, including changing communication-channel conditions and energy limitations.

Career Highlights

Kim’s listed patent reflects work at the intersection of quantum machine learning and federated learning. The invention distributes model training between a global server and local devices.

Collaborations

The supplied information lists Joongheon Kim and Won Joon Yun as Kim’s coworkers. His patent is associated with Korea University Research and Business Foundation.

Conclusion

Jae Pyoung Kim’s patent presents a distributed quantum-learning approach designed to account for communication and energy constraints in federated learning.