2017
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
NeurIPS 2017poster
Parallel implementations of stochastic gradient descent (SGD) have received significant research attention, thanks to its excellent scalability properties. A fundamental barrier when parallelizing SGD is the high bandwidth cost of communicating gradient updates between nodes; consequently, several l…