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pro vyhledávání: '"Kyonghwan, Yoon"'
We study the problem of privacy-preserving machine learning (PPML) for ensemble methods, focusing our effort on random forests. In collaborative analysis, PPML attempts to solve the conflict between the need for data sharing and privacy. This is espe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::326b6e38eebbda06cd7a70d89bd26eca
http://arxiv.org/abs/1811.08695
http://arxiv.org/abs/1811.08695
Publikováno v:
Applied Cryptography and Network Security ISBN: 9783319933863
ACNS
ACNS
Linear regression with 2-norm regularization (i.e., ridge regression) is an important statistical technique that models the relationship between some explanatory values and an outcome value using a linear function. In many applications (e.g., predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::867ba42664278256e353fbfcd7f54657
https://doi.org/10.1007/978-3-319-93387-0_13
https://doi.org/10.1007/978-3-319-93387-0_13