Deep Learning in the Era of Edge Computing: Challenges and Opportunities-Reference-Cited by-同舟云学术

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Deep Learning in the Era of Edge Computing: Challenges and Opportunities

Published:2020-04-25 Issue: Volume: Page:67-78
ISSN:
Container-title:Fog Computing
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Author:

Zhang Mi,Zhang Faen,Lane Nicholas D.,Shu Yuanchao,Zeng Xiao,Fang Biyi,Yan Shen,Xu Hui

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119551713.ch3

Reference27 articles.

1. Edge Computing: Vision and Challenges

2. The Promise of Edge Computing

3. The Emergence of Edge Computing

4. Deep learning

5. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

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1. Adapting Spatial Transformer Networks Across Diverse Hardware Platforms: A Comprehensive Implementation Study;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22

2. Edge Computing with Operations Research Using IoT Devices in Healthcare;Smart Edge Computing;2024-02-23

3. Joint Sparse Representations and Coupled Dictionary Learning in Multisource Heterogeneous Image Pseudo-Color Fusion;IEEE Sensors Journal;2023-12-15

4. Federated Learning Hyperparameter Tuning From a System Perspective;IEEE Internet of Things Journal;2023-08-15

5. Tracking Targets in Hyper-Scale Cameras Using Movement Predication;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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