Author

Y. Ong

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Preprint Jul 2026

Unifying Adversarially Robust Model Experts in Vision-Language Models

A collaborative adversarial fine-tuning framework that maintains multiple experts during training, enables knowledge exchange through embedding-space harmonization, and consolidates the learned knowledge into a single unified robust model.

Nguyen Duc Thai, Junhao Dong, Sua Qi Rong et al. · 0 citations

#artificial intelligence Preprint Aug 2026

FedPref: Federated Preference Learning for Structured Radiology Report Extraction

FedPref lets institutions with unequal, unpooled data benefit from collaboration without ever sharing reports or annotations, and frozen public language models propose alternative JSON extractions, local annotations rank them, and sites collaboratively train compact Qwen3-8B adapters while sharing only model updates.

Flint Xiaofeng Fan, Cheston Tan, Y. Ong et al. · 0 citations