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   Articles with "collaborative edge" as a keyword



Collaborative Edge Caching and Transcoding for 360° Video Streaming Based on Deep Reinforcement Learning

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3197798

Abstract: 360° video streaming provides an immersive viewing experience, but demands high bitrate transmission with low latency. To accommodate the fluctuating network condition and different user requirements, 360° videos are streamed with different quality versions, which… read more here.

Keywords: video streaming; collaborative edge; 360 video; video ... See more keywords

EdgeShard: Efficient LLM Inference via Collaborative Edge Computing

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2024.3524255

Abstract: Large language models (LLMs) have shown great success in content generation and intelligent intelligent decision making for IoT systems. Traditionally, LLMs are deployed on the cloud, incurring prolonged latency, high bandwidth costs, and privacy concerns.… read more here.

Keywords: edge; edge computing; collaborative edge; edge devices ... See more keywords
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Virtual Network Embedding for Collaborative Edge Computing in Optical-Wireless Networks

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recommendations! Published in 2017 at "Journal of Lightwave Technology"

DOI: 10.1109/jlt.2017.2703311

Abstract: As an open integrated environment deployed with wired and wireless infrastructures, the smart city heavily relies on the wireless-optical broadband access network. Smart home data are usually sent to neighbor optical network units (ONUs) through… read more here.

Keywords: network; edge computing; edge; collaborative edge ... See more keywords

Elastic Collaborative Edge Intelligence for UAV Swarm: Architecture, Challenges, and Opportunities

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recommendations! Published in 2024 at "IEEE Communications Magazine"

DOI: 10.1109/mcom.002.2300129

Abstract: Unmanned aerial vehicles (UAVs) have been widely used in military and civilian fields by carrying out intelligent applications with deep learning technologies, such as battlefield search and rescue; intelligence, surveillance, and reconnaissance (ISR); and smart… read more here.

Keywords: elastic collaborative; collaborative edge; uav swarm; edge intelligence ... See more keywords

Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing

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recommendations! Published in 2024 at "IEEE Wireless Communications"

DOI: 10.1109/mwc.004.2300479

Abstract: Big artificial intelligence (AI) models have emerged as a crucial element in various intelligent applications at the edge, such as voice assistants in smart homes and autonomous robotics in smart factories. Training big AI models… read more here.

Keywords: edge training; edge; collaborative edge; edge devices ... See more keywords
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Collaborative Edge Caching through Service Function Chaining: Architecture and Challenges

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recommendations! Published in 2018 at "IEEE Wireless Communications"

DOI: 10.1109/mwc.2018.1700321

Abstract: Edge caching enables mobile users to fetch contents from cache servers deployed at base stations or even closer to users, with the aim of avoiding latency and improving the overall user experience while reducing backhaul/fronthaul… read more here.

Keywords: edge caching; edge; caching policies; collaborative edge ... See more keywords

Social Prediction-Based Handover in Collaborative-Edge-Computing-Enabled Vehicular Networks

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recommendations! Published in 2022 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2021.3055542

Abstract: Collaborative edge computing (CEC) can realize the cooperation and integration of heterogeneous resources distributed in adjacent areas, increasing the overall resource utilization efficiency. In a CEC-supported heterogeneous vehicular network composed of different access solutions, including… read more here.

Keywords: collaborative edge; based handover; prediction; edge computing ... See more keywords

3-D-SIS: A 3-D-Social Identifier Structure for Collaborative Edge Computing Based Social IoT

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recommendations! Published in 2022 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2021.3064716

Abstract: The social Internet of Things (IoT) (SIoT) helps to enable an autonomous interaction between the two architectures that have already been established: social networks and the IoT. SIoT also integrates the concepts of social networking… read more here.

Keywords: based social; sis; collaborative edge; social identifier ... See more keywords

Collaborative Edge Computing for Social Internet of Vehicles to Alleviate Traffic Congestion

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recommendations! Published in 2022 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2021.3074038

Abstract: Edge computing in vehicles is emerging as an essential candidate for the Internet of Vehicles (IoV) to improve traffic efficiency. The proliferation of IoV pushes the horizon of edge computing. The social features and connections… read more here.

Keywords: collaborative edge; computing social; traffic; edge computing ... See more keywords

Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization

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recommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2024.3432818

Abstract: Unmanned aerial vehicle (UAV) edge computing systems provide easy-to-deploy and low-cost services at those areas with inadequate infrastructure by deploying UAVs as moving edge servers for large-scale users. However, user devices are generally distributed unevenly… read more here.

Keywords: resource; edge; edge computing; collaborative edge ... See more keywords

Enhancing QoE in Collaborative Edge Systems With Feedback Diffusion Generative Scheduling

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recommendations! Published in 2025 at "IEEE Transactions on Mobile Computing"

DOI: 10.1109/tmc.2025.3587744

Abstract: Collaborative edge computing is a promising approach for delivering low-delay services to computation-intensive Internet of Things applications. Deep Reinforcement Learning (DRL) has become an effective way to solve task scheduling decisions in edge systems due… read more here.

Keywords: collaborative edge; mml mml; mml; diffusion ... See more keywords