Distributed Semi-Supervised Learning With Consensus Consistency on Edge Devices-Reference-Cited by-同舟云学术

Distributed Semi-Supervised Learning With Consensus Consistency on Edge Devices

Author:

Chen Hao-Rui¹^ORCID,Yang Lei¹^ORCID,Zhang Xinglin²^ORCID,Shen Jiaxing³^ORCID,Cao Jiannong⁴^ORCID

Affiliation:

1. School of Software Engineering, South China University of Technology, Guangzhou, China

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

3. Department of Computing and Decision Sciences, Lingnan University, Hong Kong

4. Department of Computing, The Hong Kong Polytechnic University, Hong Kong

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Guangzhou Basic and Applied Basic Research Foundation

Hong Kong RGC General Research Fund

Hong Kong RGC Theme-based Research Scheme

HK RGC Research Impact Fund

Lingnan University

Hong Kong Special Administrative Region, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

Reference45 articles.

1. Learning with pseudo-ensembles;Bachman

2. Regularization with stochastic transformations and perturbations for deep semi-supervised learning;Sajjadi

3. FixMatch: Simplifying semi-supervised learning with consistency and confidence;Sohn

4. Dash: Semi-supervised learning with dynamic thresholding;Xu

5. FlexMatch: Boosting semi-supervised learning with curriculum pseudo labeling;Zhang

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