Author

Hong-ning Dai

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Book Open access Aug 2026

Learning in the Right Subspace: Personalized Differential Private Federated Learning with Noise Filtering

FedSPA, a Subspace Projection Aggregation personalized differential private Federated learning framework, is proposed, which not only effectively guides the aggregation of client personalized differential privacy but also reduces communication overhead.

Tianchi Liao, Xiaojun Deng, Le-Le Fu et al. · Proceedings of the 32nd ACM... · 0 citations

Book Open access Aug 2026

Learning in the Right Subspace: Personalized Differential Private Federated Learning with Noise Filtering

Differential privacy (DP) mechanisms have been widely adopted in federated learning (FL) to enhance model security. However, existing approaches predominantly employ uniform privacy budgets, neglecting personalized requirements arising from heterogeneous user privacy preferences. Such uniform privacy configurations typ...

Tianchi Liao, Xiaojun Deng, Lele Fu et al. · Proceedings of the 32nd ACM... · 0 citations