IEEE

Federated Learning for Medical Applications - A Study on Performance and Bias with Logistic Regression on Small Datasets

Abstract: Important concerns when using medical data for Machine Learning (ML) is patient privacy and bias. Federated Learning (FL), the training of a centralized model by using parameters from ...
IEEE

Network Intrusion Detection System Based on Multiple Datasets: Machine Learning Approaches

Abstract: Network Intrusion Detection Systems (NIDS) detect network attacks before they reach host systems. Initially rule-based, NIDS have evolved to leverage machine learning (ML) and deep learning ...