908 citations · 2.4k across the 149 of their papers we have counts for
Showing 2016 · cs.LGShow all
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cs.LG2016★ 15 cited
The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning
Hantian Zhang, Jerry Li, Kaan Kara +3
Recently there has been significant interest in training machine-learning models at low precision: by reducing precision, one can reduce computation and communication by one order…
cs.LG2016★ 908 cited
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh, Demjan Grubic, Jerry Li +2
Parallel implementations of stochastic gradient descent (SGD) have received significant research attention, thanks to excellent scalability properties of this algorithm, and to its…