Privacy-Preserving Dynamic Average Consensus via Random Number Perturbation-Reference-Cited by-同舟云学术

Privacy-Preserving Dynamic Average Consensus via Random Number Perturbation

Author:

Gao Lan¹^ORCID,Zhou Yiqun²,Chen Xin³^ORCID,Cai Runfeng³^ORCID,Chen Guo⁴^ORCID,Li Chaojie⁴^ORCID

Affiliation:

1. School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China

2. School of Computer Science, Chongqing University, Chongqing, China

3. School of Big Data and Software Engineering, Chongqing University, Chongqing, China

4. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

Funder

National Key Research and Development Plan of Ministry of Science and Technology of China

National Natural Science Foundation of China

Chongqing Technology Innovation and Application Development Special Key Project

Venture and Innovation Support Program for Chongqing Overseas Returnees

China Postdoctoral Science Foundation

Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

Reference25 articles.

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