Author

Yu-Yin Zhou

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Preprint Nov 2026

A Novel Federated Learning Framework for Defending Against Gradient Inversion Attacks

Federated Learning (FL) offers a paradigm for collaborative machine learning model training among clients, preserving data privacy by avoiding direct data sharing. However, the gradient information exchanged in FL has been shown to be vulnerable to Gradient Inversion Attacks (GIA), which can reconstruct sensitive user...

Peng-Xin Guo, Zi-Ying Huang, Shuang Zeng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

A Vision-Language Foundation Model for Precise and Comprehensive Brain Tumor Diagnosis from Preoperative Multimodal Data

The developed BrainVLM to classify all 12 World Health Organization (WHO) 2021 brain tumor types and demonstrated its utility in preoperative molecular subgroup prediction for adult-type diffuse gliomas, using a multi-center cohort of 632 patients.

Y. Wang, Jian-Wen Chen, Zhou Chen et al. · 0 citations