Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers

25 Feb 2020Serge Kas HannaRawad BitarParimal ParagVenkat DasariSalim El Rouayheb

We consider the setting where a master wants to run a distributed stochastic gradient descent (SGD) algorithm on $n$ workers each having a subset of the data. Distributed SGD may suffer from the effect of stragglers, i.e., slow or unresponsive workers who cause delays... (read more)

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