FEEL Project

The goal of the FEEL project is to research and develop new methods of Federated Learning for network security. The project was supported by CESNET.

Proposed Methodology

The proposed methodology of the project is to train an autoencoder model with triplet loss in the clients, which aggregating the model in the central aggregator.

Dataset

The dataset used for the project can be downloaded and used from here.