Distributed Recurrent Neural Network Learning via Metropolis-Weights Consensus

ICONIP, pp. 108-119, 2017.

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Abstract:

When data are shared among arbitrarily connected machines, the training process became an interesting challenge where each node is initialized with a specific scalar value, so it present a problem of computing their average taking into account interconnectivity between agents in order to ensure that the objective process converges as the ...More

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