Zengyan Tang

Stubbornness-Aware Peer-to-Peer Bayesian Federated Learning Over Graphs

This paper proposes a fully decentralized, peer-to-peer Bayesian federated learning method that explicitly regulates the relative influence of newly observed local data and neighbor information via an agent-specific stubbornness parameter and introduces a time-varying schedule that gradually transitions from fast early...