Filtering Out High Noise Data for Distributed Deep Neural Networks-Reference-Cited by-同舟云学术

Filtering Out High Noise Data for Distributed Deep Neural Networks

Published:2023-01 Issue:1 Volume:20 Page:101-111
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Cui Yangguang¹^ORCID,Li Liying²^ORCID,Tao Zhe³,Chen Mingsong⁴^ORCID,Wei Tongquan¹^ORCID

Affiliation:

1. Shanghai Key Laboratory of Trustworthy Computing, Shanghai Trusted Industry Internet Software Collaborative Innovation Center, School of Computer Science and Technology, East China Normal University, Shanghai, China

2. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

3. Godel Laboratory, Huawei, Shanghai, China

4. Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China

Funder

National Natural Science Foundation of China

Yunnan Academy of Tobacco Agriculture Sciences

Innovation Fund of Chinese Universities Industry-University-Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/10007430/09908578.pdf?arnumber=9908578

Reference43 articles.

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2. JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services

3. Neurosurgeon

4. Large scale distributed deep networks;dean;Proc Adv Neural Inf Process Syst,2012

5. Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices

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