Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

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Items 801–900 of 2,413

1. 6G Goal-Oriented Communications: How to Coexist with Legacy Systems?
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3. Expert and intelligent systems for assessment and mitigation of cascading failures in smart grids: Research challenges and survey
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4. Wearable AI for on-device frailty assessment
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5. The role of Edge-AI in edge enabled IoT systems: A comprehensive performance analysis
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6. Artificial Intelligence-Enhanced Wearable Blood Pressure Monitoring in Resource-Limited Settings: A Co-Design of Sensors, Model, and Deployment
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7. A comprehensive review of lightweight deep learning models for edge computing with future directions
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8. Lightweight Edge-Cloud Cooperative Inference for Small and Medium Models under WAN Constraints
   Jiajing Liao, Feng Chang, Tianjian Xia, Zeyu Huang, Xinxin Huang, Yihao Zhou · 2026 · International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT)
9. DRL-Based Energy-Efficient Trajectory Planning, Computation Offloading, and Charging Scheduling in UAV-MEC Network
   Qian Wei, Zhi Zhou, Xu Chen · 2022 · IEEE/CIC International Conference on Communications in China (ICCC)
10. Local edge computing for radiological image reconstruction and computer-assisted detection: A feasibility study
    Antti Isosalo, Johirul Islam, Henrik Mustonen · 2023 · Finnish Journal of eHealth and eWelfare
11. Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
    Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda · 2023 · IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)
12. OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices
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13. A Semantic-Oriented Federated Learning for Hybrid Ground–Aqua Computing Systems
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14. Resource Management for MEC Assisted Multi-Layer Federated Learning Framework
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15. Recognition and statistical method of cows rumination and eating behaviors based on Tensorflow.js
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16. Enhancing Edge Intelligence with Highly Discriminant LNT Features
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17. Intelligent Edge-powered Data Reduction: A Systematic Literature Review
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18. An edge intelligence-based model deployment method for CNC systems
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19. A cloud-based architecture for explainable Big Data analytics using self-structuring Artificial Intelligence
    Nishan Mills, Zafar Issadeen, Amali Matharaarachchi, Tharindu Bandaragoda, Daswin De Silva, Andrew Jennings, Milos Manic · 2024 · Discover Artificial Intelligence
20. An IoT Architecture Leveraging Digital Twins: Compromised Node Detection Scenario
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21. Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices
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22. MCDH-SLKAP: Modified Computational Diffie-Hellman-Based Secure and Lightweight Key Agreement Protocol for Decentralized Edge Computing Networks
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23. Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
    Xiaofei Wang, Yunfeng Zhao, Chao Qiu, Qinghua Hu, Victor C. M. Leung · 2024 · IEEE Communications Surveys & Tutorials
24. Fast-Inf: Ultra-Fast Embedded Intelligence on the Batteryless Edge
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25. Serverless Microservice Architecture for Cloud-Edge Intelligence in Sensor Networks
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26. The promise of neuromorphic edge AI for rural environmental monitoring
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27. Resource Allocation for Task-Oriented Generative Artificial Intelligence in Internet of Things
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28. SGXPool: Improving the performance of enclave creation in the cloud
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29. Novel Defense Schemes for Artificial Intelligence Deployed in Edge Computing Environment
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30. Energy-efficient neural networks with near-threshold processors and hardware accelerators
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31. Edge Intelligence in Private Mobile Networks for Next-Generation Railway Systems
    Syed Muhammad Asad, Ahsen Tahir, Rao Naveed Bin Rais, Shuja Ansari, Attai Ibrahim Abubakar, Sajjad Hussain, Qammer H. Abbasi, Muhammad Ali Imran · 2021 · Frontiers in Communications and Networks
32. Enabling Lightweight Device-Free Wireless Sensing With Network Pruning and Quantization
    Ye Qing Sun, Fan Li, Gang Li, Xiaorui Ma, Qinghua Gao, Miao Pan, Jie Wang · 2021 · IEEE Sensors Journal
33. Automotive Vulnerability Analysis for Deep Learning Blockchain Consensus Algorithm
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34. Online Model Updating with Analog Aggregation in Wireless Edge Learning
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35. DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
    Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
36. An Online Approach for DNN Model Caching and Processor Allocation in Edge Computing
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37. A security integration model for private data of intelligent mobile communication based on edge computing
    Xiang Chen · 2020 · Computer Communications
38. Multi-Armed Bandits Scheme for Tasks Offloading in MEC-enabled Maritime Communication Networks
    Shan Gao, Tingting Yang, Hua Ni · 2020 · IEEE/CIC International Conference on Communications in China (ICCC)
39. Blockchain-driven anomaly detection framework on edge intelligence
    Xueshuo Xie, Yaozheng Fang, Zhaolong Jian, Ye Lu, Tao Li, Guiling Wang · 2020 · CCF Transactions on Networking
40. A Non-Blind Deconvolution Semi Pipelined Approach to Understand Text in Blurry Natural Images for Edge Intelligence
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41. Network Compression via Mixed Precision Quantization Using a Multi-Layer Perceptron for the Bit-Width Allocation
    Efstathia Soufleri, Kaushik Roy · 2021 · IEEE Access
42. A Novel Joint Dataset and Incentive Management Mechanism for Federated Learning Over MEC
    Joohyung Lee, Daejin Kim, Dusit Tao Niyato · 2022 · IEEE Access
43. Edge-AI empowered Cyber-Physical Systems: A comprehensive review on performance analysis
    Raj Kumar Baliyar Singh, Karri Reddy · 2025 · Computer Science Review
44. Deep Reinforcement and IL for Autonomous Driving: A Review in the CARLA Simulation Environment
    Piotr Czechowski, Bartosz Kawa, Mustafa Sakhai, Maciej Wielgosz · 2025 · Applied Sciences
45. ComAI: The Convergence of Communication and Artificial Intelligence
    Ping Zhang, Kai Niu, Xiaoyun Wang, Yiming Liu, Zijian Liang, Chen Dong, Jincheng Dai, Xiaodong Xu, Wenjun Xu, Zhi Zhang et al. · 2025 · IEEE Communications Surveys & Tutorials
46. A Prototype of a Lightweight Structural Health Monitoring System Based on Edge Computing
    Ke Wang, Zhiyi Tang, Guangcai Qian, Wei Xu, Xiaomin Huang, Hao Fang · 2025 · Sensors
47. Edge Intelligence as a Service
    Philipp Raith, Schahram Dustdar · 2021 · IEEE International Conference on Services Computing
48. SimTune: bridging the simulator reality gap for resource management in edge-cloud computing
    Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings · 2022 · Scientific Reports
49. Control–Communication–Computing Co-Design in Cyber–Physical Production System
    Changqing Xia, Yuqi Liu, Tianhao Xia · 2022 · IEEE Internet of Things Journal
50. AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing
    Bowen Pang, Sicong Liu, Hongli Wang, Bin Guo, Yuzhan Wang, Hao Wang, Zhenli Sheng, Zhongyi Wang, Zhiwen Yu · 2023 · ACM Transactions on Sensor Networks
51. Hierarchical representation and interpretable learning for accelerated quality monitoring in machining process
    Danny Hoang, Hamza Errahmouni, Han-Ning Chen, Sriniket Rachuri, Nasir Mannan, Ruby ElKharboutly, Mohsen Imani, Rui-Min Chen, Farhad Imani · 2024 · CIRP - Journal of Manufacturing Science and Technology
52. Optimization of news dissemination push mode by intelligent edge computing technology for deep learning
    JiLe DeGe, Sina Sang · 2024 · Scientific Reports
53. Enabling Efficient and Distributed Access Control for Pervasive Edge Computing Services
    Lingshuang Liu, Cheng Huang, Dan Zhu, Dongxiao Liu, Jianbing Ni, Xuemin Shen · 2024 · IEEE Transactions on Mobile Computing
54. An Autonomous Parallelization of Transformer Model Inference on Heterogeneous Edge Devices
    Juhyeon Lee, Insung Bahk, Hoseung Kim, Sinjin Jeong, Suyeon Lee, Donghyun Min · 2024 · International Conference on Supercomputing
55. Artificial Intelligence-Enabled Edge Computing: Necessity of Next Generation Future Computing System
    Anand Kumar Mishra, R. Ravinder Reddy, Amit Kumar Tyagi, Micheal Olaolu Arowolo · 2024 · Internet of things
56. SecMdp: Towards Privacy-Preserving Multimodal Deep Learning in End-Edge-Cloud
    Zhao Bai, Mingyue Wang, Fangda Guo, Yu Guo, Chengjun Cai, Rongfang Bie, Xiaohua Jia · 2024 · IEEE International Conference on Data Engineering (ICDE)
57. Cost-Efficient Federated Learning for Edge Intelligence in Multi-Cell Networks
    Tao Wu, Yuben Qu, Chunsheng Liu, Haipeng Dai, Chao Dong, Jiannong Cao · 2024 · IEEE/ACM Transactions on Networking
58. Heterogeneous Task Oriented Data Scheduling in Vehicular Edge Computing via Deep Reinforcement Learning
    Quyuan Luo, Tom H. Luan, Weisong Shi, Pingzhi Fan · 2024 · IEEE Transactions on Vehicular Technology
59. Human Behavior Analysis Using Radar Data: A Survey
    Patrycja Miazek, Alicja Żmudzińska, Paweł Karczmarek, Adam Kiersztyn · 2024 · IEEE Access
60. Cost-Aware Dispersed Resource Probing and Offloading at the Edge: A User-Centric Online Layered Learning Approach
    Tao Ouyang, Xu Chen, Liekang Zeng, Zhi Zhou · 2024 · IEEE Transactions on Services Computing
61. Incorporating Edge-AI in IoT-Cloud Framework for Landslide Surveillance and Forecasting
    Kapil Aggarwal, Pratibha S. Yalagi, Bhavesh D. Patel, C.S. Sasireka, J. Arun Kumar, Nookala Venu · 2024 · IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE)
62. A survey on task type-based computation offloading in mobile edge networks
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63. QoE-Aware Volumetric Video Caching and Rendering for Mobile Extended Reality Services
    Yingying Pei, Mushu Li, Xinyu Huang · 2025 · IEEE Internet of Things Journal
64. When Mathematical Methods Meet Artificial Intelligence and Mobile Edge Computing
    Yuzhu Liang, Xiaotong Bi, Ruihan Shen, Zhengyang He, Yuqi Wang, Juntao Xu, Yao Zhang, Xinggang Fan · 2025 · Mathematics
65. Comprehending the theoretical knowledge and practice around AI-enabled innovations in the finance sector
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66. Intelligent Internet of Things Enabled Edge System for Smart Healthcare
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67. The Case for Adaptive Deep Neural Networks in Edge Computing
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68. A Novel HTTP Anomaly Detection Framework Based on Edge Intelligence for the Internet of Things (IoT)
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69. RAMCI: a novel asynchronous memory copying mechanism based on I/OAT
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70. FedPS: A Privacy Protection Enhanced Personalized Search Framework
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71. Edge Intelligence in 6G Systems
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72. Compact and Stable Memristive Visual Geometry Group Neural Network
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73. Socialized Learning for Smart Cities: Cognitive Paradigm, Methodology, and Solution
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74. Intelligent edge content caching: A deep recurrent reinforcement learning method
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75. Trajectory prediction dimensionality reduction for low-cost connected automated vehicle systems
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76. A QoS-aware, Proactive Tasks Offloading Model for Pervasive Applications
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77. Edge–IoT Computing and Networking Resource Allocation for Decomposable Deep Learning Inference
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78. Developing smart city services using intent‐aware recommendation systems: A survey
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79. Artificial Intelligence-Based System for Advocate Assistance
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80. CFLIT: Coexisting Federated Learning and Information Transfer
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81. Joint Data Transmission and Trajectory Optimization in UAV-Enabled Wireless Powered Mobile Edge Learning Systems
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82. Online data poisoning attack against edge AI paradigm for IoT-enabled smart city
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83. DeepCP: Deep Learning Driven Cascade Prediction-Based Autonomous Content Placement in Closed Social Network
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84. IMCA: An Efficient In-Memory Convolution Accelerator
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85. Network Public Opinion Prediction and Control Based on Edge Computing and Artificial Intelligence New Paradigm
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86. RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems
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87. Enable Pipeline Processing of DNN Co-inference Tasks In the Mobile-Edge Cloud
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88. Evolving and explainable clinical risk assessment at the edge
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89. AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones
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90. LightBlocks: A trusted lightweight signcryption and consensus scheme for industrial IoT ecosystems
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91. Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework
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92. Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence.
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93. Federated Learning Over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
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94. Incentive Mechanism Design for Multi-Round Federated Learning With a Single Budget
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95. ADMM for Mobile Edge Intelligence: A Survey
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96. big.VLITTLE: On-Demand Data-Parallel Acceleration for Mobile Systems on Chip
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97. Data-Driven Analytics for Reliability in the Buildings-to-Grid Integrated System Framework: A Systematic Text-Mining-Assisted Literature Review and Trend Analysis
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98. An Architecture and Review of Intelligence Based Traffic Control System for Smart Cities
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99. Two-Layer Optimization With Utility Game and Resource Control for Federated Learning in Edge Networks
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100. Efficient Service Function Chain Placement Over Heterogeneous Devices in Deviceless Edge Computing Environments
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