A Graph Network Model For Distributed Learning With Limited Bandwidth Links And Privacy Constraints

In this work, we develop an algorithm based on graph networks to train distributedly a deep learning model. We consider that there are several nodes, in an arbitrary network topology, each one of them having access to a local dataset that, for privacy con
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