发明名称 |
METHOD AND SYSTEM FOR DISTRIBUTED MACHINE LEARNING |
摘要 |
Method, system, and programs for distributed machine learning on a cluster including a plurality of nodes are disclosed. A machine learning process is performed in each of the plurality of nodes based on a respective subset of training data to calculate a local parameter. The training data is partitioned over the plurality of nodes. A plurality of operation nodes are determined from the plurality of nodes based on a status of the machine learning process performed in each of the plurality of nodes. The plurality of operation nodes are connected to form a network topology. An aggregated parameter is generated by merging local parameters calculated in each of the plurality of operation nodes in accordance with the network topology. |
申请公布号 |
US2013290223(A1) |
申请公布日期 |
2013.10.31 |
申请号 |
US201213458545 |
申请日期 |
2012.04.27 |
申请人 |
CHAPELLE OLIVIER;LANGFORD JOHN;DUDIK MIROSLAV;AGARWAL ALEKH;YAHOO! INC. |
发明人 |
CHAPELLE OLIVIER;LANGFORD JOHN;DUDIK MIROSLAV;AGARWAL ALEKH |
分类号 |
G06F15/18 |
主分类号 |
G06F15/18 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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