Encrypted accelerated least squares regression
Information that is stored in an encrypted format is, by definition, usually not amenable to statistical analysis or machine learning methods. In this paper we present detailed analysis of coordinate and accelerated gradient descent algorithms which are capable of fitting least squares and penalised...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal article |
| Published: |
Journal of Machine Learning Research
2017
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