Researchers 'Drop the Zeroes' to Speed Deep Learning
Researchers at the King Abdullah University of Science and Technology (KAUST) are now proposing a method of accelerating distributed deep learning by dropping data blocks with zero values, which are frequently produced during distributed machine learning processes that use large datasets.
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