2024
When Green Learning Meets Federated Learning: Toward Distributed Learning with Low Complexity and Model Heterogeneity
ICASSP 2024accepted
In this paper, we study the problem of aggregating heterogeneous models with low-complexity consideration in federated learning (FL). A green heterogeneous federated learning (GHFL) system, the marriage of the green learning (GL) methodology and FL, is proposed to simultaneously account for model he…