Probabilistic Synchronous Parallel

22 Sep 2017 Liang Wang Ben Catterall Richard Mortier

Most machine learning and deep neural network algorithms rely on certain iterative algorithms to optimise their utility/cost functions, e.g. Stochastic Gradient Descent. In distributed learning, the networked nodes have to work collaboratively to update the model parameters, and the way how they proceed is referred to as synchronous parallel design (or barrier control)... (read more)

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