Faster Asynchronous SGD

15 Jan 2016Augustus Odena

Asynchronous distributed stochastic gradient descent methods have trouble converging because of stale gradients. A gradient update sent to a parameter server by a client is stale if the parameters used to calculate that gradient have since been updated on the server... (read more)

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