Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning

Hongrui Shi, Valentin Radu, Po Yang

The heterogeneity of hardware and data is a well-known and studied problem in the community of Federated Learning (FL) as running under heterogeneous settings. Recently, custom-siz…