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Federated Edge Intelligence and Edge Caching Mechanisms
Federated learning (FL) has emerged as a promising technique for preserving user privacy and ensuring data security in distributed machine learning contexts, particularly in edge intelligence and edge caching applications.
Aristeidis Karras +5 more
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5G Network Edge Intelligence for Smart Operation and Maintenance of Offshore Wind Power [PDF]
As global offshore wind power advances toward deeper, farther waters, harsh Operation and Maintenance (O&M) environments, equipment heterogeneity, and flaws in existing communication (e.g., insufficient 4G bandwidth, high-latency/cost satellite ...
Yuqing Gao +6 more
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Survey of edge–edge collaborative training for edge intelligence
With the rapid arrival of the Internet of Everything era, massive data resources are generated on edge sides, causing problems such as large network load, high energy consumption, and privacy security in traditional distributed training based on cloud ...
Rui WANG +7 more
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Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain. [PDF]
Biswas A, Wang HC.
europepmc +2 more sources
Blockchain-IIoT integration into industrial processes promises greater security, transparency, and traceability. However, this advancement faces significant storage and scalability issues with existing blockchain technologies. Each peer in the blockchain
Nana Kwadwo Akrasi-Mensah +8 more
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Research on Industrial Internet Platform Architecture and Application based on Edge Intelligence 2.0
Edge intelligence is the combination of Artificial Intelligence (AI) and edge computing, which can meet the key requirements of digital industry in real-time business, data optimization and intelligence application etc.
Wei LIU, Wei ZHANG
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Workload Characteristics Based Performance Optimization for Edge Intelligence [PDF]
Edge intelligence refers to a form of service that uses artificial intelligence algorithms to provide data analysis capabilities for network edge devices.However,the edge computing environment is more complex and changeable than cloud computing.There are
HU Zhao-xia, HU Hai-zhou, JIANG Cong-fengand WAN Jian
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Development and Prospect of Edge Intelligence for Industrial Internet
As the industrial Internet deeply integrated with manufacturing, the drive capability of industrial intelligence becomes prominent regarding the digitization and informatization of the manufacturing industry.
Ren Yaodanjun +3 more
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Edge Intelligence-Based RAN Architecture for 6G Internet of Things
Edge Intelligence, which blends Artificial Intelligence (AI) with Radio Access Network (RAN) and edge computing, is recommended as a crucial enabling technology for 6G to accommodate intelligent and efficient applications. In this study, we proposed Edge
Yang Liu +4 more
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To ensure the reliability of power supply, ultra-fast and reliable fault classification of the transmission line is the critical stage of the wide-area transmission network protection.
Tong Zhang, Nan Wang
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