Distributed block-diagonal approximation methods for regularized empirical risk minimization
نویسندگان
چکیده
منابع مشابه
Distributed Block-diagonal Approximation Methods for Regularized Empirical Risk Minimization
Designing distributed algorithms for empirical risk minimization (ERM) has become an active research topic in recent years because of the practical need to deal with the huge volume of data. In this paper, we propose a general framework for training an ERM model via solving its dual problem in parallel over multiple machines. Our method provides a versatile approach for many large-scale machine...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2019
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-019-05859-2