The New Age of Edge Intelligence and Its Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 3848
Special Issue Editors
Interests: wireless networks; LTE; 5G; Internet of Things; mobile computing
Interests: ISAC; intelligent communications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of mobile networks and the Internet of Things, the number of devices, as well as the amount of data generated by these devices, at the edge of networks is rapidly increasing. This trend has prompted a new computing paradigm: edge computing. At the same time, thanks to breakthroughs in computing hardware and machine learning algorithms, edge computing acts as a smart “brain” and provides more intelligent services. Edge intelligence can be roughly divided into two types, i.e., AI on edge and AI for edge, where the former focuses on how to build AI models on the edge computing platform and the latter focuses on how to provide solutions to edge computing problems using advanced AI techniques. In this context, this Special Issue aims to present a collection of work on the theme of edge intelligence and its applications.
The topics of interest include, but are not limited to, the following:
- Intelligent solutions to edge computing problems, e.g., task offloading and edge caching, and resource allocation;
- Intelligent applications at the edge;
- Distributed learning and federated learning;
- Edge–cloud collaborative learning;
- Learning-based security and privacy;
- Optimization techniques in edge computing;
- Low-latency and energy-aware processing;
- Fault tolerance, reliability, and survivability in edge computing;
- AI lightweight models and model compression.
Dr. Yunjian Jia
Dr. Wenchao Xia
Guest Editors
Manuscript Submission Information
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Keywords
- edge intelligence
- edge computing
- intelligent communications
- distributed learning
- cloud-edge collaboration
- task offloading
- edge caching
- resource allocation
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