Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

Lin Zhang, Li Shen, Liang Ding +2

Federated Learning (FL) is an emerging distributed learning paradigm under privacy constraint. Data heterogeneity is one of the main challenges in FL, which results in slow converg…