Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms

Vincent Plassier, Alain Durmus, Eric Moulines

This paper focuses on Bayesian inference in a federated learning context (FL). While several distributed MCMC algorithms have been proposed, few consider the specific limitations o…