Yiying Wang — accepted AI-conference papers

2026

FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment

Moxuan Zeng, Wenxuan Tu, Yuanyi Chen, Yiying Wang, Miao Yu, Xiangyan Tang +1

AAAI 2026technical

Personalized Federated Learning (PFL), which aims to customize models for each client while preserving data privacy, has become an important research topic in addressing the challenges of data heterogeneity. Existing studies usually enhance the localization of global parameters by injecting local in

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2026

Transferable Graph Condensation from the Causal Perspective

Huaming Du, Yijie Huang, Su Yao, Yiying Wang, Yueyang Zhou, Jingwen Yang +7

AAAI 2026technical

The increasing scale of graph datasets has significantly improved the performance of graph representation learning methods, but it has also introduced substantial training challenges. Graph dataset condensation techniques have emerged to compress large datasets into smaller yet information-rich data

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