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Found 3 papers, 1 papers with code
Asynchronous Local Computations in Distributed Bayesian Learning
To demonstrate the efficacy of the proposed algorithm, we present simulations on a toy problem as well as on real world data sets to train ML models to perform classification tasks.
Asynchronous Bayesian Learning over a Network
We present a practical asynchronous data fusion model for networked agents to perform distributed Bayesian learning without sharing raw data.
A forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction
In this paper, we propose a variational approach to estimate eddy viscosity using forward sensitivity method (FSM) for closure modeling in nonlinear reduced order models.
Dynamical Systems Fluid Dynamics
