Fed-HARM: A Proposed Federated Hierarchical Adversarial Framework with Mixture-of-Experts Personalization for Multimodal Brain Tumor Segmentation
Fed-HARM: A Proposed Federated Hierarchical Adversarial Framework with Mixture-of-Experts Personalization for Multimodal Brain Tumor Segmentation presents a conceptual federated learning framework for multimodal brain tumor segmentation using MRI data. The proposed architecture combines a shared Vision Transformer (ViT...