2 papers
cs.LG2026
FedDES: Graph-Based Dynamic Ensemble Selection for Personalized Federated Learning
Brianna Mueller, W. Nick Street
Statistical heterogeneity in Federated Learning (FL) often leads to negative transfer, where a single global model fails to serve diverse client distributions. Personalized federat…
cs.LG2024
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning
Brianna Mueller, W. Nick Street, Stephen Baek +3
Federated learning (FL) enables multiple clients with distributed data sources to collaboratively train a shared model without compromising data privacy. However, existing FL parad…