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Federated Edge Intelligence and Edge Caching Mechanisms

open access: yesInformation, 2023
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
doaj   +2 more sources

Survey of edge–edge collaborative training for edge intelligence

open access: yes工程科学学报, 2023
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
doaj   +2 more sources

5G Network Edge Intelligence for Smart Operation and Maintenance of Offshore Wind Power [PDF]

open access: yesSensors
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
doaj   +2 more sources

Energy-Efficient Collision-Free Machine/AGV Scheduling Using Vehicle Edge Intelligence [PDF]

open access: yesSensors
With the widespread use of autonomous guided vehicles (AGVs), avoiding collisions has become a challenging problem. Addressing the issue is not straightforward since production efficiency, collision avoidance, and energy consumption are conflicting ...
Zhengying Cai   +5 more
doaj   +2 more sources

Edge Intelligence: Empowering Intelligence to the Edge of Network

open access: yesProceedings of the IEEE, 2021
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis proximity to where data are captured based on artificial intelligence. Edge intelligence aims at enhancing data processing and protects the privacy and security of the data and users.
Dianlei Xu   +7 more
openaire   +5 more sources

Adaptive Storage Optimization Scheme for Blockchain-IIoT Applications Using Deep Reinforcement Learning

open access: yesIEEE Access, 2023
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
doaj   +1 more source

Research on Industrial Internet Platform Architecture and Application based on Edge Intelligence 2.0

open access: yesGuangtongxin yanjiu, 2021
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
doaj   +1 more source

Workload Characteristics Based Performance Optimization for Edge Intelligence [PDF]

open access: yesJisuanji kexue, 2022
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
doaj   +1 more source

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence [PDF]

open access: yesIEEE Internet of Things Journal, 2020
13 pages, 3 ...
Shuiguang Deng   +5 more
openaire   +2 more sources

Development and Prospect of Edge Intelligence for Industrial Internet

open access: yes中国工程科学, 2021
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
doaj   +1 more source

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