This project implements an intrusion detection system using federated learning. The goal is to train machine learning models on decentralized edge devices, ensuring privacy and security, and then ...

This project utilizes the power of Federated Learning to create an Intrusion Detection System. It employs the Flower framework (GitHub - adap/flower) for federated learning and the UNSW_NB15 dataset ...

With the rapid development of information technology, cybersecurity issues are becoming increasingly prominent. Existing intrusion detection methods are mainly based on centralized machine learning ...

A new study titled “Trustworthy AI and Federated Learning for Intrusion Detection in 6G-Connected Smart Buildings”, published in Future Internet, addresses these challenges head-on. The researchers ...

Federated AI achieves 99.9% accuracy in IoT cybersecurity and fraud detection The study investigates how AI models can learn from multiple institutions’ data without exposing individual datasets.

Keywords: federated learning, transformers, intrusion detection system (IDS), cybersecurity, Internet of Things (IoT), optimization. Citation: Abd Elaziz M, Fares IA, Dahou A and Shrahili M (2025) ...

With the rapid development of information technology, cybersecurity issues are becoming increasingly prominent. Existing intrusion detection methods are mainly based on centralized machine learning ...