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Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2022 To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed data communication and learning.
Wei Xu +5 more
semanticscholar +1 more source
Edge-Oriented Computing: A Survey on Research and Use Cases
Energies, 2022 Edge computing is a distributed computing paradigm such that client data are processed at the periphery of the network, as close as possible to the originating source.
Nour Alhuda Sulieman +4 more
doaj +1 more source
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing [PDF]
Proceedings of the IEEE, 2019 With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications and services, spanning from personal assistant to recommendation systems to video/audio surveillance.
Zhi Zhou +5 more
semanticscholar +1 more source
IEEE Access, 2023 The implementation of the Internet of Things and 5G communications has pushed centralized cloud computing toward edge computing resulting in a paradigm shift in computing. Edge computing allows edge devices to offload their overflowing computing tasks to
Mostafa Raeisi-Varzaneh +3 more
doaj +1 more source
, 2023 Over the past few years, The idea of edge computing has seen substantial expansion in both academic and industrial circles. This computing approach has garnered attention due to its integrating role in advancing various state-of-the-art technologies such as Internet of Things (IoT) , 5G, artificial intelligence, and augmented reality.
Balqees Talal Hasan, Ali Kadhum Idrees
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Edge Computing：Review and Application Research on New Computing Paradigm
Jisuanji kexue yu tansuo, 2020 The rapid development of science and technology has made the concept of the Internet of everything no longer just appear in people??s mind. With the rapid growth number of smart devices accessing to the wireless network, the amount of edge data has ...
ZHENG Fengbin, ZHU Dongwei, ZANG Wenqian, YANG Jinlin, ZHU Guanghui
doaj +1 more source
Adaptive Federated Learning in Resource Constrained Edge Computing Systems [PDF]
IEEE Journal on Selected Areas in Communications, 2018 Emerging technologies and applications including Internet of Things, social networking, and crowd-sourcing generate large amounts of data at the network edge.
Shiqiang Wang +6 more
semanticscholar +1 more source
Italian National Conference on Sensors, 2023 Given its advantages in low latency, fast response, context-aware services, mobility, and privacy preservation, edge computing has emerged as the key support for intelligent applications and 5G/6G Internet of things (IoT) networks.
Amira Bourechak +5 more
semanticscholar +1 more source
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey [PDF]
ACM Computing Surveys, 2023 The ultra-low latency requirements of 5G/6G applications and privacy constraints call for distributed machine learning systems to be deployed at the edge.
Jiajun Wu +5 more
semanticscholar +1 more source
Decentralizing Computation with Edge Computing
Proceedings of the Interdisciplinary Workshop on (de) Centralization in the Internet, 2021 Edge computing promises to bring computation close to the end-users to support emergent applications such as virtual reality. However, the computational capacity at the edge of the network is currently limited. To become a pervasive paradigm, edge computing needs highly dispersed decentralized deployments, that, contrary to cloud, cannot benefit from ...
Aleksandr Zavodovski +7 more
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