Decentralized Learning of Bayesian Networks from Private Data with Applications to Global Pandemic
Author:
Affiliation:
1. Illinois Institute of Technology,Department of Electrical and Computer Engineering,Chicago,USA,60616
Funder
Illinois Institute of Technology
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10272385/10272393/10272461.pdf?arnumber=10272461
Reference8 articles.
1. The forecasting and case study modeling of covid-19 in chicago: A data-driven approach;ajayi;Socially Responsible Modeling Computation and Design,2023
2. Improved K2 algorithm for Bayesian network structure learning
3. Learning Bayesian Network Structure from Distributed Data
4. Secure and differentially private bayesian learning on distributed data;gil;ArXiv Preprint,2020
5. The Bayesian information criterion: background, derivation, and applications
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