Xiyuan Yang 杨熙元

I am currently an undergraduate student (Sep. 2021 - Jun. 2025) in School of Computer Science at Wuhan University, advised by Prof. Mang Ye.

If you are interested in collaborating with me or want to have a chat, always feel free to contact me : )

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We proposed Federated Parameter-Alignment and Client-Synchronization (FedAS) to handel the prevailing challenge of inter and intra-client inconsistency in the Personalized Federated Learning domain.

We introduced the FedDPA algorithm, leveraging Dynamic Fisher Personalization and Adaptive Constraint to enhance model performance and adaptiveness under Differential Privacy.

We proposed the AugHFL altorithm to address the data corruption issue in heterogeneous FL by data augmentation and weighted aggregation.

Source code credit to Dr. Jon Barron