Chao Huang

FedUV improves model performance in federated learning on non-IID data.

Mode consensus algorithms streamline agreement in multi-agent systems efficiently.

Introducing a novel approach to learning about geographical areas and their connections.

A new method enhances user recommendations by filtering social connections.

A new method enhances sound creation for realistic 3D human models.

A new method helps robots learn effectively despite delays.

Learn how Split Federated Learning keeps data safe while training smart models.