2023
Semi-Federated Learning for Edge Intelligence with Imperfect SIC
ICASSP 2023accepted
In this paper, we propose a semi-federated learning (SemiFL) framework that allows computing-limited clients to collaboratively train a shared model with resource-abundant clients. Specifically, by supporting the coexistence of model-updating and data-offloading, the SemiFL framework enables both ce…