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.
Package details |
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Maintainer | Daniel Schalk <daniel.schalk@stat.uni-muenchen.de> |
License | MIT + file LICENSE |
Version | 0.1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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