Qipeng Song — accepted AI-conference papers

2026

FedCARE: Federated Unlearning with Conflict-Aware Projection and Relearning-Resistant Recovery

Yue Li, Mingmin Chu, Xilei Yang, Da Xiao, Ziqi Xu, Wei Shao +2

IJCAI 2026

Federated learning (FL) enables collaborative model training without centralizing raw data, but privacy regulations such as the right to be forgotten require FL systems to remove the influence of previously used training data upon request. Retraining a federated model from scratch is prohibitively e

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2026

Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning

Qipeng Song, Nan Yang, Ziqi Xu, Yue Li, Wei Shao, Feng Xia

AAAI 2026technical

Machine unlearning aims to eliminate the influence of specific data from trained models to ensure privacy compliance. However, most existing methods assume full access to the original training dataset, which is often impractical. We address a more realistic yet challenging setting: few-shot zero-gla

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