Federated stochastic gradient Langevin dynamics

Khaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski

Abstract: Stochastic gradient MCMC methods, such as stochastic gradient Langevin dynamics (SGLD), employ fast but noisy gradient estimates to enable large-scale posterior sampling. Although we can easily ext...