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Keyword

edge AI

Description: Edge AI is the deployment and operation of artificial intelligence models on or near local devices, reducing reliance on remote cloud computing.
Wikidata ID: wiki/Q134605808
OpenAlex ID: keywords/edge-intelligence
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
2019 · Zhi Zhou, Xu Chen, et al. · Proceedings of the IEEE · 2,425
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Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
2020 · Xiaofei Wang, Yiwen Han, et al. · IEEE Communications Surveys & Tutorials · 1,490
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6G Internet of Things: A Comprehensive Survey
2021 · Dinh C. Nguyen, Ming Ding, et al. · IEEE Internet of Things Journal · 1,458
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Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
2020 · Shuiguang Deng, Hailiang Zhao, et al. · IEEE Internet of Things Journal · 1,158
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A compute-in-memory chip based on resistive random-access memory
2022 · Weier Wan, Rajkumar Kubendran, et al. · Nature · 926
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Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
2019 · En Li, Liekang Zeng, et al. · IEEE Transactions on Wireless Communications · 922
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Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges
2020 · Tie Qiu, Jiancheng Chi, et al. · IEEE Communications Surveys & Tutorials · 851
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 · Khaled B. Letaief, Yuanming Shi, et al. · IEEE Journal on Selected Areas in Communications · 819
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5G-Enabled Tactile Internet
2016 · Meryem Simsek, Adnan Aijaz, et al. · IEEE Journal on Selected Areas in Communications · 753
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A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence
2021 · Qingqing Wu, Jie Xu, et al. · IEEE Journal on Selected Areas in Communications · 565
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Edge AI: A survey
2023 · Raghubir Singh, Sukhpal Singh Gill · Internet of Things and Cyber-Physical Systems · 562
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Mobile Edge Intelligence and Computing for the Internet of Vehicles
2019 · Jun Zhang, Khaled B. Letaief · Proceedings of the IEEE · 537
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Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things
2020 · Yaqiong Liu, Mugen Peng, et al. · IEEE Internet of Things Journal · 510
Machine Learning at the Network Edge: A Survey
2021 · M. G. Sarwar Murshed, Christopher Murphy, et al. · ACM Computing Surveys · 507
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Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks
2020 · Yunlong Lu, Xiaohong Huang, et al. · IEEE Transactions on Industrial Informatics · 493
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Communication-Efficient Edge AI: Algorithms and Systems
2020 · Yuanming Shi, Kai Yang, et al. · IEEE Communications Surveys & Tutorials · 487
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A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges
2022 · Patrick McEnroe, Shen Wang, et al. · IEEE Internet of Things Journal · 477
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Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities
2021 · Xiaojun Yuan, Ying-Jun Angela Zhang, et al. · IEEE Wireless Communications · 406
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Green IoT and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case
2021 · Paula Fraga-Lamas, Sérgio Ivan Lopes, et al. · Sensors · 405
Edge Intelligence
2018 · En Li, Zhi Zhou, et al. · 385
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Security and privacy in 6G networks: New areas and new challenges
2020 · Minghao Wang, Tianqing Zhu, et al. · Digital Communications and Networks · 363
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Security and Privacy on 6G Network Edge: A Survey
2023 · Bomin Mao, Jiajia Liu, et al. · IEEE Communications Surveys & Tutorials · 322
Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning
2021 · Wei Yang Bryan Lim, Jer Shyuan Ng, et al. · IEEE Transactions on Parallel and Distributed Systems · 313
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CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices
2020 · Liekang Zeng, Xu Chen, et al. · IEEE/ACM Transactions on Networking · 313
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In situ training of feed-forward and recurrent convolutional memristor networks
2019 · Zhongrui Wang, Can Li, et al. · Nature Machine Intelligence · 305
Works count: 10,820
Citation count: 74,830
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