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Differentially private distributed logistic regression using private and public data
BACKGROUND: Privacy protecting is an important issue in medical informatics and differential privacy is a state-of-the-art framework for data privacy research. Differential privacy offers provable privacy against attackers who have auxiliary information, and can be applied to data mining models (for...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4101668/ https://ncbi.nlm.nih.gov/pubmed/25079786 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1755-8794-7-S1-S14 |
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