Papers by Seok Bong Yoo

1 papers
X-FLoRA: Cross-modal Federated Learning with Modality-expert LoRA for Medical VQA (2025.emnlp-main)

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Challenge: Medical visual question answering (VQA) and federated learning (FL) are important tools for privacy-preserving collaborative learning.
Approach: They propose a cross-modal FL framework that uses modality-expert low-rank adaptation for medical visual question answering (VQA) X-FLoRA enables the synthesis of images from one modality to another without requiring data sharing .
Outcome: Experiments show that X-FLoRA outperforms existing FL methods in terms of performance . XFLorage enables synthesis of images from one modality to another without data sharing .

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