A novel web attack detection model based on federated learning with parameters compressing method

The rest of this paper is organized as follows. Section II presents the proposed model the data pre-processing and model architecture. In Section III, we describe our experimental setup, the utilized performance metrics, our experimental results, and the comparison of our work with the change of the proposed protocol hyperparameters. Finally, in Section IV, we present our conclusion and future work.