FeDis

FeDis is a fast and scalable logistic regression algorithm with data/feature distributed stochastic coordinate descent.

People


Publication

FeDis is submitted to the following conference. The supplementary document includes full theoretical proofs omitted from the main paper.

Code

FeDis is written in Java and runs on top of Hadoop. The code and executing scripts are here.

Dataset

Here are some of the real and synthetic dataset referenced in the FeDis paper.