Papers Edge-computing
“Edge-computing” 태그가 달린 논문 1,279편 · 필터 해제
Resilience of Entropy Model in Distributed Neural Networks
Distributed deep neural networks (DNNs) have emerged as a key technique to reduce communication overhead without sacrificing performance in edge computing systems. Recently, entropy coding has been introduced to further …
Edge-computingmodelCollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI
In the landscape of generative artificial intelligence, diffusion-based models present challenges for socio-technical systems in data requirements and privacy. Traditional approaches like federated learning distribute th…
Autonomous DrivingDenoisingEdge-computingFederated Learning+1Edge Computing Enabled Real-Time Video Analysis via Adaptive Spatial-Temporal Semantic Filtering
This paper proposes a novel edge computing enabled real-time video analysis system for intelligent visual devices. The proposed system consists of a tracking-assisted object detection module (TAODM) and a region of inter…
Edge-computingobject-detectionObject DetectionOil Spill Drone: A Dataset of Drone-Captured, Segmented RGB Images for Oil Spill Detection in Port Environments
The high incidence of oil spills in port areas poses a serious threat to the environment, prompting the need for efficient detection mechanisms. Utilizing automated drones for this purpose can significantly improve the s…
Edge-computingComputational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks
The trend of massive connectivity pushes forward the explosive growth of end devices. The emergence of various applications has prompted a demand for pervasive connectivity and more efficient computing paradigms. On the …
Cloud ComputingDeep Reinforcement LearningDistributed ComputingEdge-computing+1MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices
Large language models (LLMs) are revolutionizing various domains with their remarkable natural language processing (NLP) abilities. However, deploying LLMs in resource-constrained edge computing and embedded systems pres…
ChatbotEdge-computingThe Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments
In response to the demand for real-time performance and control quality in industrial Internet of Things (IoT) environments, this paper proposes an optimization control system based on deep reinforcement learning and edg…
Deep Reinforcement LearningEdge-computingglobal-optimizationSchedulingMultiple Access in the Era of Distributed Computing and Edge Intelligence
This paper focuses on the latest research and innovations in fundamental next-generation multiple access (NGMA) techniques and the coexistence with other key technologies for the sixth generation (6G) of wireless network…
Distributed ComputingEdge-computingFederated LearningDART: Depth-Enhanced Accurate and Real-Time Background Matting
Matting with a static background, often referred to as ``Background Matting" (BGM), has garnered significant attention within the computer vision community due to its pivotal role in various practical applications like w…
Bayesian InferenceEdge-computingImage MattingStreaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case
With the advent of the Post-Moore era, the scientific community is faced with the challenge of addressing the demands of current data-intensive machine learning applications, which are the cornerstone of urgent analytics…
Distributed ComputingEdge-computingQuantum Machine LearningDistributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving
The metaverse is a virtual space that combines physical and digital elements, creating immersive and connected digital worlds. For autonomous mobility, it enables new possibilities with edge computing and digital twins (…
3D Scene ReconstructionAutonomous DrivingAutonomous VehiclesDecoder+3A Framework of RIS-assisted ICSC User-centric Based Systems: Latency Optimization and Design
This paper studies a comprehensive framework for reconfigurable intelligent surface (RIS)-assisted integrated communication, sensing, and computation (ICSC) systems with a User-centric focus. The study encompasses two sc…
Edge-computingFormComputation Offloading for Multi-server Multi-access Edge Vehicular Networks: A DDQN-based Method
In this paper, we investigate a multi-user offloading problem in the overlapping domain of a multi-server mobile edge computing system. We divide the original problem into two stages: the offloading decision making stage…
Decision MakingEdge-computingSchedulingFrom Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges
Generative Artificial Intelligence (AI) has shown tremendous prospects in all aspects of technology, including design. However, due to its heavy demand on resources, it is usually trained on large computing infrastructur…
Edge-computingModel CompressionHybrid Online-Offline Learning for Task Offloading in Mobile Edge Computing Systems
We consider a multi-user multi-server mobile edge computing (MEC) system, in which users arrive on a network randomly over time and generate computation tasks, which will be computed either locally on their own computing…
Edge-computingCombinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
Recently, there has been an explosion of mobile applications that perform computationally intensive tasks such as video streaming, data mining, virtual reality, augmented reality, image processing, video processing, face…
Deep Reinforcement LearningEdge-computingFace RecognitionFederated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System
This paper investigates resource allocation to provide heterogeneous users with customized virtual reality (VR) services in a mobile edge computing (MEC) system. We first introduce a quality of experience (QoE) metric to…
Edge-computingFederated LearningSAWEC: Sensing-Assisted Wireless Edge Computing
Emerging mobile virtual reality (VR) systems will require to continuously perform complex computer vision tasks on ultra-high-resolution video frames through the execution of deep neural networks (DNNs)-based algorithms.…
BenchmarkingEdge-computingInstance Segmentationobject-detection+2FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Federated Learning (FL) has emerged as a promising solution in Edge Computing (EC) environments to process the proliferation of data generated by edge devices. By collaboratively optimizing the global machine learning mo…
Edge-computingFederated LearningTransfer LearningThe Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions
Smart cities stand as pivotal components in the ongoing pursuit of elevating urban living standards, facilitating the rapid expansion of urban areas while efficiently managing resources through sustainable and scalable i…
Edge-computingFederated Learning