arXiv cs.AI· Md Zubair, Hao Zheng, Grayson W. Armstrong, Lucy Q. Shen, Gabriela Wilson, Yu Tian, Xingquan Zhu, Min Shi·· 4 小时前AI 评分34
MultiFair：双层梯度调制的多模态公平医疗分类方法
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
AI 导读
MultiFair 是一种针对多模态医疗分类的双层梯度调制方法，在数据模态和人群组别两个层面动态调节训练梯度的优化方向与幅度，解决模态学习不均衡和人口组间性能不公平问题。该方法在三个含多样人口属性的真实医疗分类数据集上完成评估，覆盖多分类和模态缺失场景，实验结果验证了其有效性，论文已被 IEEE Transactions on Medical Imaging 接收。
正文 · 原文
Abstract:Medical decision systems increasingly rely on data from multiple sources to ensure reliable and unbiased diagnosis. However, existing multimodal learning models fail to achieve this goal because they often overlook two critical challenges. First, various data modalities may learn unevenly, thereby converging to a model biased towards certain modalities. Second, the model may emphasize learning on certain demographic groups causing unfair performances. The two aspects can influence each other, as different data modalities may favor respective groups during optimization, leading to both imbalanced and unfair multimodal learning. This paper proposes a novel approach called MultiFair for multimodal medical classification, which addresses these challenges with a dual-level gradient modulation process. MultiFair dynamically modulates training gradients regarding the optimization direction and magnitude at both data modality and group levels. We evaluate MultiFair on three real-world medical classification datasets with diverse demographic attributes,including multiclass classification and missing-modality settings. Experimental results demonstrate its effectiveness.
| Comments: | This work has been accepted for publication in IEEE Transactions on Medical Imaging |
| Subjects: | Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Computers and Society (cs.CY) |
| Cite as: | arXiv:2510.07328 [cs.LG] |
| (or arXiv:2510.07328v3 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.2510.07328 arXiv-issued DOI via DataCite |
Submission history
From: Md Zubair [view email]
[v1]
Tue, 30 Sep 2025 20:30:12 UTC (3,389 KB)
[v2]
Thu, 9 Jul 2026 05:29:24 UTC (606 KB)
[v3]
Tue, 27 Oct 2026 16:31:14 UTC (606 KB)
来源：arXiv cs.AI · arxiv.org