Melih Coşğun

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

Data normalization is a crucial preprocessing step for enhancing model performance and training stability. In federated learning (FL), where data remains distributed across multiple parties during collaborative model training, normalization presents unique challenges due to the decentralized and often heterogeneous nat...