RISE Research Radar

Computer Science Open House 2022-2025

2023

Federated Learning for Cybersecurity

Han Wang, Luis Muñoz-González, Muhammad Zaid Hameed, David Bsund, Shahid Raza

Summary

SparSFA: Towards robust and communication-efficient peer-to-peer federated learning. Sparsified Federated Aggregation for intrusion detection in IoT. Addresses adversarial attacks with robust aggregation scheme. Published in Elsevier Journal of Computers & Security, Volume 129, 2023.

Themes

federated-learningcybersecurity

Keywords

federated learning, P2P, intrusion detection, sparsification, adversarial robustness

Poster

Federated Learning for Cybersecurity poster

Click image to open full size