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Secure and differentially private bayesian learning via preconditioned stochastic gradient langevin dynamics on distributed data

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Title
Secure and differentially private bayesian learning via preconditioned stochastic gradient langevin dynamics on distributed data
Author
Gil, Yeong-Jae
Advisor
Lee, Jung-Hye
Keywords
machine learning; privacy-preserving machine learning; differential privacy; homomorphic encryption
Issue Date
2020-08
Publisher
Graduate School of UNIST
Description
Department of Management Engineering
URI
https://scholarworks.unist.ac.kr/handle/201301/47922
Appears in Collections:
SME_Theses_Master
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