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Accelerating Distributed Deep Learning By Adaptive Gradient Quantization

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IEEE ICASSP 2020 Virtual Conference May 2020

To accelerate distributed deep learning, gradient quantization technique is widely used to reduce the communication cost. However, the existing quantization schemes suffer from either model accuracy degradation or low compression ratio (arisen from a redu

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Accelerating Distributed Deep Learning By Adaptive Gradient Quantization

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To accelerate distributed deep learning, gradient quantization technique is widely used to reduce the communication cost. However, the existing quantization schemes suffer from either model accuracy degradation or low compression ratio (arisen from a redu