Decentralized Bayesian Learning over Graphs

no code implementations • 24 May 2019 • Anusha Lalitha, Xinghan Wang, Osman Kilinc, Yongxi Lu, Tara Javidi, Farinaz Koushanfar

The proposed algorithm can be viewed as a Bayesian and peer-to-peer variant of federated learning in which each agent keeps a "posterior probability distribution" over a global model parameters.

Bayesian Inference Federated Learning