Gradient Coding via the Stochastic Block Model

25 May 2018Zachary CharlesDimitris Papailiopoulos

Gradient descent and its many variants, including mini-batch stochastic gradient descent, form the algorithmic foundation of modern large-scale machine learning. Due to the size and scale of modern data, gradient computations are often distributed across multiple compute nodes... (read more)

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