Dynamic weighted federated learning with client level differential privacy for DDoS detection in IoT networks
A client-level differential privacy-dynamic weighted federated learning (DWFL) framework that applies Gaussian-mechanism noise with Renyi differential privacy (DP) composition and privacy amplification by subsampling, combined with a quality-score-driven weighted aggregation mechanism, within a single unified architect...