Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity

Vision-language pre-training (VLP) has emerged as an effective scheme for multimodal representation learning, but its reliance on large-scale multimodal data poses significant challenges for medical applications. Federated learning (FL) offers a promising solution to scale up the dataset for medical...

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Hauptverfasser:	Shuai, Zitao, Wu, Chenwei, Tang, Zhengxu, Shen, Liyue
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
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