FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning

no code implementations • 17 Oct 2024 • Brianna Mueller, W. Nick Street, Stephen Baek, Qihang Lin, Jingyi Yang, Yankun Huang

Federated learning (FL) enables multiple clients with distributed data sources to collaboratively train a shared model without compromising data privacy.

Ensemble Learning Personalized Federated Learning

Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization

no code implementations • 21 Jul 2022 • Yankun Huang, Qihang Lin, Nick Street, Stephen Baek

We propose a federated learning method with weighted nodes in which the weights can be modified to optimize the model's performance on a separate validation set.

Bilevel Optimization Federated Learning