Author

Ziyue Xu

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#federated learning Preprint Oct 2026

Fed-ADApt: Federated Anytime Depth Adaptation for Resource-Aware Medical Image Segmentation

Federated learning (FL) enables collaborative training of medical image segmentation models without sharing raw patient data, yet existing approaches assume a homogeneous compute budget across institutions, limiting participation of low-resource sites. We propose Fed-ADApt, a depth-adaptive federated framework for UNet...

Abhijeet Parida, Zhi-Fan Jiang, Pooneh Roshanitabrizi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

TRAP: Understanding and Mitigating Privacy Memorization in Language Models

TRAP, a one-sided penalty on tokenwise TRA that acts only where the target model pulls ahead of its reference, brings memorization near the level of an untrained model at little utility cost, where generic regularizers barely move and differential privacy gives up most of what fine-tuning bought.

Muhammed Ustaomeroglu, Zi-Yue Xu, Han-Shen Xiao et al. · 0 citations

#artificial intelligence Preprint Aug 2026

FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

Two distinct effects are reported: paired-example FedAvg partially recovers the missing-ECG gap, while validation-selected completion is a task-specific classifier-logit correction rather than literal ECG recovery.

Holger R. Roth, Zi-Yue Xu, P. Cnudde · 0 citations