mloss.org Distributed Frank Wolfe Algorithmhttp://mloss.orgUpdates and additions to Distributed Frank Wolfe AlgorithmenWed, 28 Jan 2015 00:35:03 -0000Distributed Frank Wolfe Algorithm 0.02http://mloss.org/software/view/593/<html><p>The distributed Frank-Wolfe algorithm is a convex optimization algorithm to learn sparse combinations of elements distributed over a network. This software is C++/MPI implementation of the algorithm that can solve two problems: Kernel Support Vector Machines with distributed training examples, and LASSO regression with distributed attributes. </p> <hr /> <h5>For more information / citation, refer to:</h5><p>A. Bellet*, Y. Liang*, A. Bagheri Garakani*, M.-F. Balcan and F. Sha. (*: equal contribution)<br /> A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning<br /> SIAM International Conference on Data Mining (SDM), 2015, to appear<br /> </p> <p>http://perso.telecom-paristech.fr/~abellet/papers/distributed_frank_wolfe.html </p></html>alireza bagheri garakaniWed, 28 Jan 2015 00:35:03 -0000http://mloss.org/software/rss/comments/593http://mloss.org/software/view/593/support vector machineskernel methodsconvex optimizationmpiconditional gradientdistributed learningdistributed optimizationfrank wolfe algorithmlasso regression