FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning

Ho Man Kwan, Shenghui Song

Recently, innovative model aggregation methods based on knowledge distillation (KD) have been proposed for federated learning (FL). These methods not only improved the robustness o…