Distribute the global model to each client.

Download the global model from the server.

Downloads the new model

Downloads the new global model

Downloads and decrypt the received global gradients

* Capacity */

* Here to avoid `template<class K> size_type erase(const K& key)` being used * when we use an `iterator` instead of a `const_iterator`. */

* @brief Recursively extract the vector of predictions of the training data * from the specified node * * @param node target node * @retur

Forward pass of the VIB module. Args: x (torch.Tensor): Input tensor. Returns: torch.Tensor: Output

Get delta. Args: epsilon (float): Epsilon value. Returns: float: Delta value.