Fengli Zhang

General Dynamic Regularization Federated Learning with Hybrid Sharpness-Aware Minimization

One of the main challenges in federated learning is its non-independent and identically distributed (non-IID) nature, where independent client training leads to overfitting and model deviations, negatively impacting overall performance. To address this, most research focuses on aligning local and gl…