Artificial Identification: A Novel Privacy Framework for Federated Learning Based on Blockchain-Reference-Cited by-同舟云学术

Artificial Identification: A Novel Privacy Framework for Federated Learning Based on Blockchain

Author:

Ouyang Liwei¹^ORCID,Wang Fei-Yue²^ORCID,Tian Yonglin³^ORCID,Jia Xiaofeng⁴,Qi Hongwei⁵,Wang Ge⁶

Affiliation:

1. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

2. State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. Department of Automation, University of Science and Technology of China, Hefei, China

4. Department of Data Management, Beijing Big Data Centre, Beijing, China

5. Datang (Beijing) Technology Company, Ltd., Beijing, China

6. Institute of Systems Engineering, Macau University of Science and Technology, Macau, China

Funder

National Key Research and Development Program of China

Science and Technology Development Fund, Macau SAR

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

Reference64 articles.

1. Federated learning: Strategies for improving communication efficiency;Konečný;arXiv:1610.05492,2016

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