Robust Semisupervised Federated Learning for Images Automatic Recognition in Internet of Drones-Reference-Cited by-同舟云学术

Robust Semisupervised Federated Learning for Images Automatic Recognition in Internet of Drones

Author:

Zhang Zhe¹^ORCID,Ma Shiyao²^ORCID,Yang Zhaohui³,Xiong Zehui⁴^ORCID,Kang Jiawen⁵^ORCID,Wu Yi¹^ORCID,Zhang Kejia⁶^ORCID,Niyato Dusit⁷^ORCID

Affiliation:

1. School of Data Science and Technology, Heilongjiang University, Harbin, China

2. College of Information and Communication Engineering, Dalian Minzu University, Dalian, China

3. Department of Electronic and Electrical Engineering, University College London, London, U.K.

4. Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore

5. Automation School, Guangdong University of Technology, Guangzhou, China

6. School of Mathematical Science, Heilongjiang University, Harbin, China

7. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference48 articles.

2. Federated learning with non-IID data;zhao;arXiv 1806 00582,2018

4. On the convergence of FedAvg on non-IID data;li;Proc ICLR,2019

5. Temporal ensembling for semi-supervised learning;samuli;Proc ICLR,2017

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