FedDCDS: a dual-phase secure federated learning framework with dynamic clustering and adaptive delivery
FedDCDS introduces a novel dual-phase secure federated learning framework designed to address the intertwined challenges of statistical heterogeneity, system heterogeneity, and security threats in large-scale edge computing environments. By integrating a dynamic spectral clustering mechanism, the framework dynamically...
Li-Yuan Zhang, Na-Fei Zhu, Jing-Sha He et al.
· Cluster Computing · 0 citations