MOSAIC: Modality-agnostic Spectral Alignment for Federated Image-level Weakly Supervised Tumor Segmentation under Client-specific Missing Modalities
This work proposes MOSAIC, the first modality-agnostic federated framework for weakly supervised binary tumor segmentation under client-specific missing modalities, which introduces a client-specific modality-alignment module, a spectral prototype alignment loss that reconciles cross-client distribution shift using com...