Bridging Local and Federated Data Normalization in Federated Learning: A Privacy-Preserving Approach

Melih Coşğun, Mert Gençtürk, Sinem Sav

Data normalization is a crucial preprocessing step for enhancing model performance and training stability. In federated learning (FL), where data remains distributed across multipl…