Dec 13, 2015 · Title:L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework. Authors:Virginia Smith, Simone Forte, Michael ...
Details ; Title L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework ; Author(s) Smith, Virginia ; Forte, Simone ; Jordan, ...
A primal-dual framework for distributed L1-regularized optimization, running on Apache Spark. This code trains a standard least squares sparse regression ...
Jun 2, 2016 · Page 1. L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework. Virginia Smith. UC Berkeley. Simone Forte. ETH ...
Dec 20, 2015 · We propose an algorithm-independent framework to equip existing optimization methods with primal-dual certificates. Such certificates and ...
Page 1. Workshop on Optimization in machine learning, vision and image processing,. Toulouse, 6th October 2015. L1-Regularized. Distributed Optimization.
In this paper, we present a communication-efficient framework for L1-regularized optimization in distributed environments. ... We provide convergence guarantees ...
In this paper, we proposed a primal-dual based algorithm to solve distributed optimization problems. To reduce the communication overhead we use compression ...
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework. Mendeley · CSV · RIS · BibTeX ; Type. Working Paper ; Publication status.
Abstract—We study a deterministic primal-dual subgradient method for distributed optimization of a separable objective function with global inequality ...
Missing: L1- | Show results with:L1-