Search Results for author: Soyi Jung

Found 31 papers, 2 papers with code

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

no code implementations9 Feb 2023 Chanyoung Park, Won Joon Yun, Jae Pyoung Kim, Tiago Koketsu Rodrigues, Soohyun Park, Soyi Jung, Joongheon Kim

This paper proposes a novel quantum multi-agent actor-critic networks (QMACN) algorithm for autonomously constructing a robust mobile access system using multiple unmanned aerial vehicles (UAVs).

Multi-agent Reinforcement Learning

Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems

no code implementations31 Dec 2022 Hyunsoo Lee, Soohyun Park, Won Joon Yun, Soyi Jung, Joongheon Kim

Thus, our proposed autonomous nonlinear drone mobility control algorithm utilizes situation-aware components those are implemented with a Raycast function in Unity virtual scenarios.


Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding

no code implementations4 Dec 2022 Won Joon Yun, Jae Pyoung Kim, Hankyul Baek, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim

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

Federated Learning Image Classification

Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning

no code implementations24 Nov 2022 Chanyoung Park, Jae Pyoung Kim, Won Joon Yun, Soohyun Park, Soyi Jung, Joongheon Kim

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 quantum multi-agent reinforcement learning (QMARL).

Multi-agent Reinforcement Learning Quantum Machine Learning +2

Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility

no code implementations13 Nov 2022 Chanyoung Park, Soohyun Park, Gyu Seon Kim, Soyi Jung, Jae-Hyun Kim, Joongheon Kim

It has been considered that urban air mobility (UAM), also known as drone-taxi or electrical vertical takeoff and landing (eVTOL), will play a key role in future transportation.

reinforcement-learning Reinforcement Learning (RL)

Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception

no code implementations7 Nov 2022 Hankyul Baek, Yoo Jeong, Ha, MinJae Yoo, Soyi Jung, Joongheon Kim

In modern on-driving computing environments, many sensors are used for context-aware applications.

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control

no code implementations3 Oct 2022 Chanyoung Park, Haemin Lee, Won Joon Yun, Soyi Jung, Carlos Cordeiro, Joongheon Kim

The reliable mobile access services can be achieved in following two ways, i. e., (i) energy-efficient UAV operation and (ii) reliable wireless communication services.

Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks

no code implementations2 Sep 2022 Haemin Lee, Seok Bin Son, Won Joon Yun, Joongheon Kim, Soyi Jung, Dong Hwa Kim

One of the key topics in network security research is the autonomous COA (Couse-of-Action) attack search method.

Slimmable Quantum Federated Learning

no code implementations20 Jul 2022 Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim

Quantum federated learning (QFL) has recently received increasing attention, where quantum neural networks (QNNs) are integrated into federated learning (FL).

Federated Learning

Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification

no code implementations5 Jun 2022 Youngkee Kim, Soyi Jung, Minseok Choi, Joongheon Kim

As deep neural networks achieve unprecedented performance in various tasks, neural architecture search (NAS), a research field for designing neural network architectures with automated processes, is actively underway.

Image Classification Neural Architecture Search

Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks

no code implementations27 May 2022 Seok Bin Son, Soohyun Park, Haemin Lee, Joongheon Kim, Soyi Jung, Donghwa Kim

In the literature of modern network security research, deriving effective and efficient course-of-action (COA) attach search methods are of interests in industry and academia.

reinforcement-learning Reinforcement Learning (RL)

SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks

no code implementations26 Mar 2022 Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim

However, applying FL in practice is challenging due to the local devices' heterogeneous energy, wireless channel conditions, and non-independently and identically distributed (non-IID) data distributions.

Distributed Computing Federated Learning

Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset

1 code implementation21 Feb 2022 Yoo Jeong Ha, Gusang Lee, MinJae Yoo, Soyi Jung, Seehwan Yoo, Joongheon Kim

It seems as though progressively more people are in the race to upload content, data, and information online; and hospitals haven't neglected this trend either.

Privacy Preserving

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

no code implementations19 Feb 2022 Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim, Hyunhee Cho, Minseok Choi, Soyi Jung, Joongheon Kim

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 their high data and computational power dependency.

Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification

no code implementations17 Feb 2022 Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Soyi Jung, Joongheon Kim

In many deep neural network (DNN) applications, the difficulty of gathering high-quality data in the industry field hinders the practical use of DNN.

Image Classification Neural Architecture Search +1

Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery

no code implementations29 Dec 2021 Haemin Lee, Sean Kwon, Soyi Jung, Joongheon Kim

In this paper, multiple delivery drones compete to offer data transfer to a single fixed-location surveillance drone.

Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles

no code implementations26 Dec 2021 Won Joon Yun, MyungJae Shin, Soyi Jung, Sean Kwon, Joongheon Kim

The RAIL is a novel derivative-free imitation learning method for autonomous driving with various ADAS functions coordination; and thus it imitates the operation of decision maker that controls autonomous driving with various ADAS functions.

Autonomous Driving Imitation Learning +1

Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding

no code implementations5 Dec 2021 Hankyul Baek, Won Joon Yun, Soyi Jung, Jihong Park, Mingyue Ji, Joongheon Kim, Mehdi Bennis

To address the heterogeneous communication throughput problem, each full-width (1. 0x) SNN model and its half-width ($0. 5$x) model are superposition-coded before transmission, and successively decoded after reception as the 0. 5x or $1. 0$x model depending on the channel quality.

Federated Learning

Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks

no code implementations5 Dec 2021 Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim

By applying SC, SlimFL exchanges the superposition of multiple width configurations that are decoded as many as possible for a given communication throughput.

Federated Learning

Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks

no code implementations15 Nov 2021 Yoo Jeong Ha, Soyi Jung, Jae-Hyun Kim, Marco Levorato, Joongheon Kim

This paper utilizes surveillance UAVs for the purpose of detecting the presence of a fire in the streets.

Stable Marriage Matching for Traffic-Aware Space-Air-Ground Integrated Networks: A Gale-Shapley Algorithmic Approach

no code implementations17 Oct 2021 Hyunsoo Lee, Haemin Lee, Soyi Jung, Joongheon Kim

In keeping with the rapid development of communication technology, a new communication structure is required in a next-generation communication system.

Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data

no code implementations20 Aug 2021 Yoo Jeong Ha, MinJae Yoo, Gusang Lee, Soyi Jung, Sae Won Choi, Joongheon Kim, Seehwan Yoo

Since the centralized server does not need to access the training data and trains the deep neural network with parameters received from the privacy-preserving layer, privacy of original data is guaranteed.

Computed Tomography (CT) Privacy Preserving

Trends in Neural Architecture Search: Towards the Acceleration of Search

no code implementations19 Aug 2021 Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Soyi Jung, Joongheon Kim

In modern deep learning research, finding optimal (or near optimal) neural network models is one of major research directions and it is widely studied in many applications.

Neural Architecture Search reinforcement-learning +1

Spatio-Temporal Split Learning

no code implementations13 Aug 2021 Joongheon Kim, Seunghoon Park, Soyi Jung, Seehwan Yoo

This paper proposes a novel split learning framework with multiple end-systems in order to realize privacypreserving deep neural network computation.

Quantum Neural Networks: Concepts, Applications, and Challenges

no code implementations2 Aug 2021 Yunseok Kwak, Won Joon Yun, Soyi Jung, Joongheon Kim

Quantum deep learning is a research field for the use of quantum computing techniques for training deep neural networks.

Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation

no code implementations2 Aug 2021 Joongheon Kim, Yunseok Kwak, Soyi Jung, Jae-Hyun Kim

In beyond 5G and 6G network scenarios, the use of satellites has been actively discussed for extending target monitoring areas, even for extreme circumstances, where the monitoring functionalities can be realized due to the usage of millimeter-wave wireless links.


Distributed and Autonomous Aerial Data Collection in Smart City Surveillance Applications

no code implementations25 Jul 2021 Haemin Lee, Soyi Jung, Joongheon Kim

The data those are produced from surveillance cameras in aerial devices such as unmanned aerial networks (UAVs) are needed to be transferred to ground stations for secure data analysis.

Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication

no code implementations22 May 2021 Won Joon Yun, Byungju Lim, Soyi Jung, Young-Chai Ko, Jihong Park, Joongheon Kim, Mehdi Bennis

In this article, we study the problem of air-to-ground ultra-reliable and low-latency communication (URLLC) for a moving ground user.

Graph Attention reinforcement-learning +1

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