most citedSlimmable Quantum Federated Learning

10 citations · 21 across the 8 of their papers we have counts for

collaborators

8 papers

cs.MA2023★ 2 cited

Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation

Soohyun Park, Jae Pyoung Kim, Chanyoung Park +2

For Industry 4.0 Revolution, cooperative autonomous mobility systems are widely used based on multi-agent reinforcement learning (MARL). However, the MARL-based algorithms suffer f…

cs.MA2023★ 1 cited

Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems

Chanyoung Park, Won Joon Yun, Jae Pyoung Kim +4

This paper proposes a novel algorithm, named quantum multi-agent actor-critic networks (QMACN) for autonomously constructing a robust mobile access system employing multiple unmann…

quant-ph2023

Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management

Won Joon Yun, Jae Pyoung Kim, Soyi Jung +2

As one of the latest fields of interest in both academia and industry, quantum computing has garnered significant attention. Among various topics in quantum computing, variational…

quant-ph2022★ 4 cited

Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding

Won Joon Yun, Jae Pyoung Kim, Hankyul Baek +4

While witnessing the noisy intermediate-scale quantum (NISQ) era and beyond, quantum federated learning (QFL) has recently become an emerging field of study. In QFL, each quantum c…

quant-ph2022

Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning

Chanyoung Park, Jae Pyoung Kim, Won Joon Yun +3

Quantum machine learning (QML) has received a lot of attention according to its light training parameter numbers and speeds; and the advances of QML lead to active research on quan…

cs.LG2022★ 10 cited

Slimmable Quantum Federated Learning

Won Joon Yun, Jae Pyoung Kim, Soyi Jung +3

Quantum federated learning (QFL) has recently received increasing attention, where quantum neural networks (QNNs) are integrated into federated learning (FL). In contrast to the ex…

quant-ph2022★ 2 cited

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design

Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim +4

In recent years, quantum computing (QC) has been getting a lot of attention from industry and academia. Especially, among various QC research topics, variational quantum circuit (V…

quant-ph2022★ 2 cited

Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications

Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim +4

Although deep learning (DL) has already become a state-of-the-art technology for various data processing tasks, data security and computational overload problems often arise due to…