2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
ICML 2025poster
Federated ensemble distillation addresses client heterogeneity by generating pseudo-labels for an unlabeled server dataset based on client predictions and training the server model using the pseudo-labeled dataset. The unlabeled server dataset can either be pre-existing or generated through a data-f…