7 citations · 9 across the 8 of their papers we have counts for
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cs.LG2019
vqSGD: Vector Quantized Stochastic Gradient Descent
Venkata Gandikota, Daniel Kane, Raj Kumar Maity +1
In this work, we present a family of vector quantization schemes \emph{vqSGD} (Vector-Quantized Stochastic Gradient Descent) that provide an asymptotic reduction in the communicati…
cs.IT2019★ 7 cited
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
Larkin Flodin, Venkata Gandikota, Arya Mazumdar
One-bit compressed sensing (1bCS) is a method of signal acquisition under extreme measurement quantization that gives important insights on the limits of signal compression and ana…