An efficient distributed learning algorithm based on effective local functional approximations

JOURNAL OF MACHINE LEARNING RESEARCH, pp. 1-37, 2018.

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Abstract:

Scalable machine learning over big data is an important problem that is receiving a lot of attention in recent years. On popular distributed environments such as Hadoop running on a cluster of commodity machines, communication costs are substantial and algorithms need to be designed suitably considering those costs. In this paper we give ...More

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