fedbox.models

This submodule defines the two main statistical models to be used in the simulations.

  1. MultinomialLogisticRegression is a multinomial logistic regression model that allows testing in a smooth and strongly convex setting.
  2. NeuralNetwork is a simple ReLU-activated neural network with one hidden layer. This allows testing in a nonconvex scenario.
1'''
2This submodule defines the two main statistical models to be used in the simulations.
3<ol>
4  <li><b>MultinomialLogisticRegression</b> is a multinomial logistic regression model that allows testing in a 
5  smooth and strongly convex setting.</li>
6  <li><b>NeuralNetwork</b> is a simple ReLU-activated neural network with one hidden layer. This allows testing in
7  a nonconvex scenario.</li>
8</ol>
9'''