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Author

Yinjie Min

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2025

Personalized Federated Conformal Prediction with Localization

Personalized federated conformal prediction (PFCP), a novel framework that combines personalized federated learning with conformal prediction to provide statistically valid agent-personalized prediction sets with instance-localization, is proposed.

Yin-Jie Min, Chuchen Zhang, Liuhua Peng et al. · 5 citations · ⚡1
Aug 2026

Triplet Decomposition and Extensions: A General Framework for Parameter-Efficient Fine-Tuning.

This work unify these approaches under a Triplet Matrix Decomposition framework and reveals that frequency-domain methods can surpass low-rank approaches when optimal frequency components are selected, and this advantage stems from orthogonal transformation matrices and flexible basis vector combinations.

Zhekai Du, Yinjie Min, Dan Zhang et al. · 0 citations

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