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METHOD AND SYSTEM FOR DISTRIBUTED MACHINE LEARNING

  • US 20130290223A1
  • Filed: 04/27/2012
  • Published: 10/31/2013
  • Est. Priority Date: 04/27/2012
  • Status: Active Grant
First Claim
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1. A method, implemented on at least one machine each of which has at least one processor, storage, and a communication platform connected to a network for distributed machine learning on a cluster including a plurality of nodes, the method comprising the steps of:

  • performing a machine learning process in each of the plurality of nodes based on a respective subset of training data to calculate a local parameter, wherein the training data is partitioned over the plurality of nodes;

    determining a plurality of operation nodes from the plurality of nodes based on a status of the machine learning process performed in each of the plurality of nodes;

    connecting the plurality of operation nodes to form a network topology; and

    generating an aggregated parameter by merging local parameters calculated in each of the plurality of operation nodes in accordance with the network topology.

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