Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

Wang, Xiaofei, Han, Yiwen, Leung, Victor C. M., Niyato, Dusit, Yan, Xueqiang, Chen, Xu·2020·IEEE Communications Surveys & Tutorials
DOI 10.1109/comst.2020.2970550

Cited by (1,497)

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  13. Multi-Hop Task Routing in Vehicle-Assisted Collaborative Edge Computing
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  14. Secure Intrusion Detection by Differentially Private Federated Learning for Inter-Vehicle Networks
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  15. Anticipatory Allocation of Communication and Computational Resources at the Edge Using Spatio-Temporal Dynamics of Mobile Users
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  16. Adaptive Early Exit of Computation for Energy-Efficient and Low-Latency Machine Learning over IoT Networks
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  17. Dynamic QoS/QoE-aware reliable service composition framework for edge intelligence
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  18. EdgeMatrix: A Resources Redefined Edge-Cloud System for Prioritized Services
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  20. AI-Empowered Fast Task Execution Decision for Delay-Sensitive IoT Applications in Edge Computing Networks
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  24. Elastic Optimization for Stragglers in Edge Federated Learning
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  25. Online Security-Aware and Reliability-Guaranteed AI Service Chains Provisioning in Edge Intelligence Cloud
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  26. A Survey on Self-Evolving Autonomous Driving: A Perspective on Data Closed-Loop Technology
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  27. Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning
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  28. Content caching in mobile edge computing: a survey
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  29. 6G Wireless Communications and Artificial Intelligence-Controlled Reconfigurable Intelligent Surfaces: From Supervised to Federated Learning
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  32. An intelligent collaborative inference approach of service partitioning and task offloading for deep learning based service in mobile edge computing networks
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  33. AI Model Compression for Edge Devices Using Optimization Techniques
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  61. EdgeMap: An Optimized Mapping Toolchain for Spiking Neural Network in Edge Computing
    Jianwei Xue, Lisheng Xie, Faquan Chen · 2023 · Sensors
  62. DLion
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  63. Priority-based Resource Allocation Scheme for Mobile Edge Computing
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  65. Edge Deployment of Deep Networks for Visual Detection: A Review
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  66. The Ubiquitous Internet and Smart Computation Available 24/7 for Anyone and Anywhere
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  68. Towards Semantic Management of On-Device Applications in Industrial IoT
    Haoyu Ren, Darko Anicic, Thomas A. Runkler · 2022 · ACM Transactions on Internet Technology
  69. Learning from data streams for automation and orchestration of 6G industrial IoT: toward a semantic communication framework
    Shiva Raj Pokhrel · 2022 · Neural Computing and Applications
  70. A Soft RISC-V Vector Processor for Edge-AI
    V. Naveen Chander, Kuruvilla Varghese · 2022 · International Conference on VLSI Design
  71. Online machine learning for auto-scaling in the edge computing
    Thiago Pereira da Silva, Aluizio Rocha Neto, Thaı́s Batista · 2022 · Pervasive and Mobile Computing
  72. SOCNet: A Lightweight and Fine-Grained Object Recognition Network for Satellite On-Orbit Computing
    Yanhua Pang, Yamin Zhang, Yi Wang, Xiaofeng Wei, Bo Chen · 2022 · IEEE Transactions on Geoscience and Remote Sensing
  73. Lightweight Deep Learning Model for Radar-Based Fall Detection With Metric Learning
    Zixuan Ou, Wen-Bin Ye · 2023 · IEEE Internet of Things Journal
  74. Horizontally Distributed Inference of Deep Neural Networks for AI-Enabled IoT
    Iván Rodríguez, Celso Campos, Florentino Fdez‐Riverola · 2023 · Sensors
  75. A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization
    Zidi Zhao, Hong Zhang, Liqiang Wang, Huang Hai-jun · 2023 · IEEE Internet of Things Journal
  76. Analysis of Integration Technologies for High-Speed Analog Neuromorphic Photonics
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  77. Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning
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  78. Eyes on nature: Embedded vision cameras for terrestrial biodiversity monitoring
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  80. Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence
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  81. Enhancing Cybersecurity and Privacy Protection for Cloud Computing-Assisted Vehicular Network of Autonomous Electric Vehicles: Applications of Machine Learning
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  82. A Comprehensive Survey on Emerging AI Technologies for 6G Communications: Research Direction, Trends, Challenges, and Opportunities
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  84. An Efficient and Robust Cloud-Based Deep Learning With Knowledge Distillation
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  85. Artificial Intelligence in Collaborative Information System
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  86. Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI
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  87. DRL-Based Contract Incentive for Wireless-Powered and UAV-Assisted Backscattering MEC System
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  89. Trends and Challenges in Computing-in-Memory for Neural Network Model: A Review From Device Design to Application-Side Optimization
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  90. Graph-Convolutional-Network-Enabled Task Offloading for Industrial Image Recognition in Digital Twin Edge Networks
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  91. Points-of-Interest Recommendation Algorithm Based on LBSN in Edge Computing Environment
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  98. DNN Partitioning for Inference Throughput Acceleration at the Edge
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  99. Task offloading scheme combining deep reinforcement learning and convolutional neural networks for vehicle trajectory prediction in smart cities
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