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About Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
This document provides a comprehensive survey of the convergence of edge computing and deep learning. It discusses how edge computing is needed to support AI applications with strict latency requirements by processing data closer to the source. Deep learning models can be trained in the cloud but deployed at the edge for inference to reduce latency. The integration of edge computing and deep learning enables intelligent edge services but also faces challenges regarding computation resources, data privacy and system optimization that require further research.
Detailed Information
| Author: | ['Francisco de Assis'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 36 |
| Language: | English |
| Format: | |
| Price: | FREE |
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