2025
A Federated Learning Network Intrusion Detection System for Multiple Imbalances
ICASSP 2025accepted
Centralized training of deep learning-based network intrusion detection systems (DLNIDS) raises privacy concerns and incurs huge overhead. Federated learning (FL), while preserving privacy, confronts challenges including size imbalance, heterogeneous and global imbalance. To address these issues, th…