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stat.ML2017
Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation
Jineng Ren, Jarvis Haupt
We propose a communicationally and computationally efficient algorithm for high-dimensional distributed sparse learning. At each iteration, local machines compute the gradient on l…
stat.ML2015★ 1 cited
On Convolutional Approximations to Linear Dimensionality Reduction Operators for Large Scale Data Processing
Swayambhoo Jain, Jarvis Haupt
In this paper, we examine the problem of approximating a general linear dimensionality reduction (LDR) operator, represented as a matrix with $m < n…