FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective

Zhekai Zhou, Shudong Liu, Zhaokun Zhou +4

Federated learning (FL) is a decentralized machine learning paradigm in which multiple clients collaboratively train a shared model without sharing their local private data. Howeve…