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…