EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed Privacy-Preserving Online Model Learning

We developed an EXpectation Propagation LOgistic REgRession (EXPLORER) model for distributed privacy-preserving online learning. The proposed framework provides a high level guarantee for protecting sensitive information, since the information exchanged between the server and the client is the encry...

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Hlavní autoři: Wang, Shuang, Jiang, Xiaoqian, Wu, Yuan, Cui, Lijuan, Cheng, Samuel, Ohno-Machado, Lucila
Médium: Artigo
Jazyk:Inglês
Vydáno: 2013
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3676314/
https://ncbi.nlm.nih.gov/pubmed/23562651
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2013.03.008
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