Results 31 to 40 of about 95,408 (180)
Distributed Weighted Data Aggregation Algorithm in End-to-Edge Communication Networks Based on Multi-armed Bandit [PDF]
Jisuanji kexue, 2023 As a combination of edge computing and artificial intelligence,edge intelligence has become a promising technique and provided its users with a series of fast,precise,and customized services.In edge intelligence,when learning agents are deployed on the ...
Yifei ZOU, Senmao QI, Cong'an XU, Dongxiao YU
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Enabling and Leveraging AI in the Intelligent Edge: A Review of Current Trends and Future Directions
IEEE Open Journal of the Communications Society, 2021 The use of AI on Smart applications and in the organization of the network edge presents a rapidly advancing research field, with a great variety of challenges and opportunities. This article aims to provide a holistic review of studies from 2019 to 2021
Tom Goethals +2 more
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Towards Green Edge Intelligence
Proceedings of the International Conference on the Internet of Things, 2023 Peer ...
Sami Ben Cheikh, Stephan Sigg
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, 2021 For next generation IoT applications, edge devices provides most of the computing resources close to the proximity of the end users. These devices having built-in intelligence using various AI techniques can take independent decisions in the environment ...
Ghosh, U., Sharma, P.K., Makkar, A.
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A Systematic Review on the Practicality of Poisoning Defenses in Federated IoT Systems
IEEE AccessFederated Learning (FL) is increasingly vital for Internet of Things (IoT) applications, yet it remains vulnerable to poisoning attacks that compromise model integrity.
Anthony Jacklingo Kwame Quansah Junior +6 more
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A 3-CS Distributed Federated Transfer Learning Framework for Intelligent Edge Optical Networks
Frontiers in Communications and Networks, 2021 With the rapid development of optical network and edge computing, the operation efficiency of the edge optical network has become more and more important, requiring an intelligent approach to enhance the network performance.
Hui Yang +6 more
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Predictive intelligence to the edge: impact on edge analytics [PDF]
Evolving Systems, 2017 We rest on the edge computing paradigm where pushing processing and inference to the edge of the Internet of Things (IoT) allows the complexity of predictive analytics to be distributed into smaller pieces physically located at the source of the contextual information. This enables a huge amount of rich contextual data to be processed in real time that
Natascha Harth +2 more
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A Framework for Full Decentralization in Blockchain Interoperability
SensorsBlockchain interoperability is one of the major challenges that has sprung up with the advancement of blockchain technology. A vast number of blockchains has been developed to aid in the continuous adoption of blockchain technology. These blockchains are
Seth Djanie Kotey +4 more
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Hardware-Aware Design for Edge Intelligence
IEEE Open Journal of Circuits and Systems, 2021 With the rapid growth of the number of devices connected to the Internet, there is a trend to move intelligent processing of the generated data with deep neural networks (DNNs) from cloud servers to the network edge.
Warren J. Gross +2 more
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Leveraging edge artificial intelligence for sustainable agriculture [PDF]
peer reviewedEffectively feeding a burgeoning world population is one of the main goals of sustainable agricultural practices. Digital technology, such as edge artificial intelligence (AI), has the potential to introduce substantial benefits to ...
Delfosse, Philippe +10 more
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