PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework-Reference-Cited by-同舟云学术

PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework

Author:

Zhao Jiaqi¹^ORCID,Zhu Hui¹^ORCID,Wang Fengwei¹,Lu Rongxing²^ORCID,Liu Zhe³^ORCID,Li Hui¹^ORCID

Affiliation:

1. School of Cyber Engineering, Xidian University, Shaanxi, Xi’an, China

2. Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada

3. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Jiangsu, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science Foundation of the Ministry of Education

Shaanxi Provincial Key Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

Reference42 articles.

4. High performance convolutional neural networks for document processing;chellapilla;Proc Int'l Workshop Frontiers in Handwriting Recognition,2006

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