Distributed Gaussian Learning over Time-varying Directed Graphs

6 Dec 2016Angelia NedićAlex OlshevskyCésar A. Uribe

We present a distributed (non-Bayesian) learning algorithm for the problem of parameter estimation with Gaussian noise. The algorithm is expressed as explicit updates on the parameters of the Gaussian beliefs (i.e. means and precision)... (read more)

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