Towards Privacy-Aware Causal Structure Learning in Federated Setting-Reference-Cited by-同舟云学术

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Towards Privacy-Aware Causal Structure Learning in Federated Setting

Published:2023-12 Issue:6 Volume:9 Page:1525-1535
ISSN:2332-7790
Container-title:IEEE Transactions on Big Data
language:
Short-container-title:IEEE Trans. Big Data

Author:

Huang Jianli¹^ORCID,Guo Xianjie¹^ORCID,Yu Kui¹^ORCID,Cao Fuyuan²^ORCID,Liang Jiye²^ORCID

Affiliation:

1. Intelligent Interconnected Systems Laboratory of Anhui Province and the School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China

2. Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/6687317/10314842/10149428.pdf?arnumber=10149428

Reference37 articles.

1. D’ya Like DAGs? A Survey on Structure Learning and Causal Discovery

2. Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data

3. Order-independent constraint-based causal structure learning;colombo;J Mach Learn Res,2014

4. Kernel-based conditional independence test and application in causal discovery;zhang;Proc Conf Uncertainty of Artificial Intelligence,0

5. Local-to-global Bayesian network structure learning;gao;Proc Int Conf Mach Learn,2017

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