A Survey on Mobile Edge Computing: The Communication Perspective [PDF]
IEEE Communications Surveys and Tutorials, 2017 Yuyi Mao +4 more
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Resource Scheduling in Edge Computing: A Survey [PDF]
IEEE Communications Surveys and Tutorials, 2021 With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless networks, the surging demand for data communications and computing calls for the emerging edge computing paradigm. By moving the services and functions located in
Quyuan Luo +4 more
semanticscholar +1 more source
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges [PDF]
IEEE Internet of Things Journal, 2021 Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the massive volume of data generated from ubiquitous mobile devices for enabling intelligent services with the help of artificial intelligence (AI).
Dinh C. Nguyen +12 more
semanticscholar +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
Edge Computing with Artificial Intelligence: A Machine Learning Perspective
ACM Computing Surveys, 2022 Recent years have witnessed the widespread popularity of Internet of things (IoT). By providing sufficient data for model training and inference, IoT has promoted the development of artificial intelligence (AI) to a great extent.
H. Hua +5 more
semanticscholar +1 more source
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
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
Federated Learning in Edge Computing: A Systematic Survey
Italian National Conference on Sensors, 2022 Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services closer to data sources. EC combined with Deep Learning (DL) is a promising technology and is widely used in several applications.
Haftay Gebreslasie Abreha +2 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
ENORM: A Framework For Edge NOde Resource Management [PDF]
, 2017 Current computing techniques using the cloud as a centralised server will become untenable as billions of devices get connected to the Internet. This raises the need for fog computing, which leverages computing at the edge of the network on nodes, such ...
Matthaiou, Michail +3 more
core +2 more sources