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ACCELERATED LEARNING BY SHARING INFORMATION BETWEEN MULTIPLE LEARNING MACHINES
ACCELERATED LEARNING BY SHARING INFORMATION BETWEEN MULTIPLE LEARNING MACHINES
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机译:通过在多台学习机之间共享信息来加速学习
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摘要
In one embodiment, variables maintained by each of a plurality of Learning Machines (LMs) are determined. The LMs are hosted on a plurality of Field Area Routers (FARs) in a network, and the variables are sharable between the FARs. A plurality of correlation values defining a correlation between the variables is calculated. Then, a cluster of FARs is computed based on the plurality of correlation values, such that the clustered FARs are associated with correlated variables, and the cluster allows the clustered FARs to share their respective variables.
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