METHOD AND SYSTEM FOR DISTRIBUTED MACHINE LEARNING

    公开(公告)号:US20170300828A1

    公开(公告)日:2017-10-19

    申请号:US15098415

    申请日:2016-04-14

    Applicant: Yahoo! Inc.

    Abstract: The present teaching relates to estimating one or more parameters on a system including a plurality of nodes. In one example, the system comprises: one or more learner nodes, each of which is configured for generating information related to a group of words for estimating the one or more parameters associated with a machine learning model; and a plurality of server nodes, each of which is configured for obtaining a plurality of sub-vectors each of which is a portion of a vector that represents a word in the group of words, updating the sub-vectors based at least partially on the information to generate a plurality of updated sub-vectors, and estimating at least one of the one or more parameters associated with the machine learning model based on the plurality of updated sub-vectors.

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