2 papers
eess.IV2026
MOSAIC: Modality-agnostic Spectral Alignment for Federated Image-level Weakly Supervised Tumor Segmentation under Client-specific Missing Modalities
Tarun Kumar Garg, Vaanathi Sundaresan
Trustworthy multimodal fusion in clinical settings requires handling incomplete and heterogeneous modality subsets across institutions, where privacy constraints prohibit centraliz…
eess.IV2026
FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging
Harsh Kumar, Tarun Kumar Garg, Vaanathi Sundaresan
Federated learning (FL) is severely hindered by statistical heterogeneity due to variations in scanners, acquisition protocols, and patient populations. Such non-IID data induces c…