Enhancing Generalization in Federated Learning via Adaptive Gradient Transformation
Federated learning (FL) has garnered significant attention in the consumer electronics sector due to its capability to optimize model performance on edge devices while ensuring user data privacy. In practice, however, FL systems face considerable challenges, primarily stemming from the statistical heterogeneity introdu...