Junliang Lyu

Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation

Personalized Bayesian federated learning (PBFL) handles non-i.i.d. client data and quantifies uncertainty by combining personalization with Bayesian inference. However, current PBFL methods face two main limitations: posterior inference on clients often assumes restrictive parametric forms, and serv…