HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images

Meirui Jiang, Zirui Wang, Qi Dou

Multiple medical institutions collaboratively training a model using federated learning (FL) has become a promising solution for maximizing the potential of data-driven models, yet…