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08/03/2023
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
For Industry 4.0 Revolution, cooperative autonomous mobility systems are...
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07/19/2023
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes
This paper presents the deep learning-based recent achievements to resol...
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06/28/2023
Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare
The prodigious growth of digital health data has precipitated a mounting...
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06/07/2023
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility
The development of urban-air-mobility (UAM) is rapidly progressing with ...
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02/09/2023
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
This paper proposes a novel quantum multi-agent actor-critic networks (Q...
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02/08/2023
EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback
This paper proposes an efficient quantum train engine (EQuaTE), a novel ...
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01/18/2023
Workload-Aware Scheduling using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks
In modern networking research, infrastructure-assisted unmanned autonomo...
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01/04/2023
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management
As one of the latest fields of interest in both academia and industry, q...
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12/31/2022
Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems
According to the rapid development of drone technologies, drones are wid...
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12/04/2022
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding
While witnessing the noisy intermediate-scale quantum (NISQ) era and bey...
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11/24/2022
Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning
Quantum machine learning (QML) has received a lot of attention according...
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11/13/2022
Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility
It has been considered that urban air mobility (UAM), also known as dron...
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11/12/2022
Quantum Split Neural Network Learning using Cross-Channel Pooling
In recent years, quantum has been attracted by various fields such as qu...
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11/07/2022
Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception
In modern on-driving computing environments, many sensors are used for c...
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10/30/2022
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification
In recent years, quantum machine learning (QML) has been actively used f...
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10/27/2022
Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective
The extensive use of smartphones and wearable devices has facilitated ma...
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10/27/2022
Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model
While semantic communication is expected to bring unprecedented communic...
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10/18/2022
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications
With the beginning of the noisy intermediate-scale quantum (NISQ) era, a...
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10/04/2022
Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles
To support rapid and accurate autonomous driving services, road environm...
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10/03/2022
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control
This paper addresses a novel multi-agent deep reinforcement learning (MA...
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09/29/2022
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications
Guaranteeing real-time and accurate object detection simultaneously is p...
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09/26/2022
Scalable Quantum Convolutional Neural Networks
With the beginning of the noisy intermediate-scale quantum (NISQ) era, q...
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09/02/2022
Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks
One of the key topics in network security research is the autonomous COA...
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08/22/2022
Quantum Multi-Agent Meta Reinforcement Learning
Although quantum supremacy is yet to come, there has recently been an in...
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07/20/2022
Slimmable Quantum Federated Learning
Quantum federated learning (QFL) has recently received increasing attent...
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06/05/2022
Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification
As deep neural networks achieve unprecedented performance in various tas...
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05/27/2022
Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks
In the literature of modern network security research, deriving effectiv...
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05/01/2022
Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints
Augmented reality (AR) is one of emerging applications in modern multime...
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04/29/2022
AoI-Aware Markov Decision Policies for Caching
We consider a scenario that utilizes road side units (RSUs) as distribut...
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03/26/2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks
Federated learning (FL) is a key enabler for efficient communication and...
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03/20/2022
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design
In recent years, quantum computing (QC) has been getting a lot of attent...
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02/21/2022
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset
It seems as though progressively more people are in the race to upload c...
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02/19/2022
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications
Although deep learning (DL) has already become a state-of-the-art techno...
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02/17/2022
Two-Stage Architectural Fine-Tuning with Neural Architecture Search using Early-Stopping in Image Classification
Deep neural networks (NN) perform well in various tasks (e.g., computer ...
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01/15/2022
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control
CCTV-based surveillance using unmanned aerial vehicles (UAVs) is conside...
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12/29/2021
Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery
A successful deployment of drones provides an ideal solution for surveil...
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12/26/2021
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles
Self-driving cars and autonomous driving research has been receiving con...
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12/16/2021
The Credibility Cryptocurrency Valuation: Statistical Learning Analysis for Influencer Tweets
Cryptocurrency has attracted significant attention. Considering the numb...
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12/05/2021
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding
Mobile devices are indispensable sources of big data. Federated learning...
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12/05/2021
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
This paper aims to integrate two synergetic technologies, federated lear...
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11/15/2021
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks
Autonomous surveillance unmanned aerial vehicles (UAVs) are deployed to ...
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10/12/2021
Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution
In a decade, the adaptive quality control of video streaming and the sup...
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10/12/2021
Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles
This paper proposes a deep reinforcement learning-based video streaming ...
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09/11/2021
Adversarial Imitation Learning via Random Search in Lane Change Decision-Making
As the advanced driver assistance system (ADAS) functions become more so...
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09/02/2021
A Reliable, Self-Adaptive Face Identification Framework via Lyapunov Optimization
Realtime face identification (FID) from a video feed is highly computati...
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08/20/2021
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data
Machine learning requires a large volume of sample data, especially when...
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08/19/2021
Trends in Neural Architecture Search: Towards the Acceleration of Search
In modern deep learning research, finding optimal (or near optimal) neur...
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08/16/2021
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation
The emergence of quantum computing enables for researchers to apply quan...
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08/13/2021
Spatio-Temporal Split Learning
This paper proposes a novel split learning framework with multiple end-s...
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08/02/2021