Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

As a key technology of enabling Artificial Intelligence (AI) applications in 5G era, Deep Neural Networks (DNNs) have quickly attracted widespread attention. However, it is challenging to run computation-intensive DNN-based tasks on mobile devices due to the limited computation resources. What'...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2020-01, Vol.19 (1), p.447-457
Main Authors: Li, En, Zeng, Liekang, Zhou, Zhi, Chen, Xu
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Artificial neural networks
Bandwidth
Bandwidths
Change detection
Cloud computing
computation offloading
Computational modeling
Configurations
deep learning
Edge computing
Edge intelligence
Electronic devices
Image edge detection
Inference
Knobs
Mobile handsets
Network latency
Neural networks
Performance evaluation
Personal computers
Real time
Variation
Wide area networks
Wireless communication
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