Dazhao Cheng — accepted AI-conference papers

2026

REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature

Wenhan Wu, Zhili He, Huanghuang Liang, Yili Gong, Jiawei Jiang, Chuang Hu +1

AAAI 2026technical

Data-protection regulations such as the GDPR grant every participant in a federated system a right to be forgotten. Federated unlearning has therefore emerged as a research frontier, aiming to remove a specific party

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2025

Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric

Wenhan Wu, Huanghuang Liang, Jingling Yuan, Jiawei Jiang, Kanye Ye Wang, Chuang Hu +2

IJCAI 2025

Federated Unlearning (FU) addresses the "right to be forgotten" in federated learning by removing specific client data's contribution without retraining from scratch. Existing FUs are data-dependent, which make the assumption that systems can access original training data or stored historical parame

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