Zhuo Kuang

From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching

Due to escalating privacy concerns, federated learning has been recognized as a vital approach for training deep neural networks with decentralized medical data. In practice, it is challenging to ensure consistent imaging quality across various institutions, often attributed to equipment malfunction…