Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners

Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners

Internet of Things applications can greatly benefit from accurate prediction models. The performance of prediction models is highly dependent on the quantity and quality of their training data. In this paper, we investigate the creation of a dynamic ensemble from distributed deep learning models by...

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Bibliographic Details
Main Authors: Mehdi Mohammadi, Ala Al-Fuqaha
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Distributed deep neural networks
spatio-temporal analysis
ensemble deep learning
bloom filter
Internet of Things
smart city
Online Access:https://ieeexplore.ieee.org/document/8501920/

Internet

https://ieeexplore.ieee.org/document/8501920/

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