Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning

no code implementations • 4 Jan 2024 • Kuangpu Guo, Yuhe Ding, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

Data heterogeneity, characterized by disparities in local data distribution across clients, poses a significant challenge in federated learning.

Federated Learning Knowledge Distillation