schalkdaniel/distributed_lm: Train models in a distributed/federated fashion

R implementation of distributed/federated learning. The models can be defined as classes (see models.cpp for an example using the linear model). In addition this package includes different optimizer which can be used within any model. This makes this package interesting for researchers since it is possible to combine different models with different optimizer.

Getting started

Package details

MaintainerDaniel Schalk <[email protected]>
LicenseMIT + file LICENSE
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("schalkdaniel/distributed_lm")
schalkdaniel/distributed_lm documentation built on May 27, 2019, 3:32 p.m.