PPEF-MBCD: A Privacy-Preserving Explainable Federated Multimodal Deep Learning Framework for Intelligent Breast Cancer Diagnosis Using Adaptive Cross-Modal Attention and Uncertainty-Aware Clinical Decision Support
Keywords:
Breast Cancer Diagnosis; Federated Learning; Explainable Artificial Intelligence; Multimodal Deep Learning; Adaptive Attention; Privacy-Preserving HealthcareAbstract
Breast cancer is still one of the main causes of death in women due to cancer in the world, sothe accuracy, comprehensibility and privacy protection of a diagnostic system are crucial. Theproposed Privacy-Preserving Explainable Federated Multimodal Breast Cancer Diagnosis (PPEF-MBCD) system exploits multimodal data of mammography
References
[1] Sneha M Kuriakose, Jaseena K U, Naveen G Basil Paul, "Towards Accurate and Interpretable Breast Cancer Detection: A Transfer
Learning-Based Approach", 2026 International Conference on Innovative Trends in Information Technology (ICITIIT), pp.1-9, 2026.
[2] Radhey Shyam, Megha Pant, Mohammad Monis Khan, "Breast Cancer Detection and Classification Using ML Techniques", Artificial
Intelligence: Theory and Applications, vol.5588, pp.47, 2025.


