A hybrid data- and model-parallel training scheme using stale gradients and consensus averaging, claimed to converge to critical points and speed up ResNet-20 training on CIFAR-10.
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Distributed Deep Learning using Stochastic Gradient Staleness
A hybrid data- and model-parallel training scheme using stale gradients and consensus averaging, claimed to converge to critical points and speed up ResNet-20 training on CIFAR-10.