Co-occurring keywords · papers mentioning both
Papers
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations
NeurIPS 2019
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication
NeurIPS 2018
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
NeurIPS 2018
Scalable methods for 8-bit training of neural networks
NeurIPS 2018
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
NeurIPS 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
NeurIPS 2017