# Deep learning via message passing algorithms based on belief propagation

@article{Lucibello2021DeepLV, title={Deep learning via message passing algorithms based on belief propagation}, author={Carlo Lucibello and Fabrizio Pittorino and Gabriele Perugini and Riccardo Zecchina}, journal={ArXiv}, year={2021}, volume={abs/2110.14583} }

Message-passing algorithms based on the Belief Propagation (BP) equations constitute a well-known distributed computational scheme. It is exact on tree-like graphical models and has also proven to be effective in many problems defined on graphs with loops (from inference to optimization, from signal processing to clustering). The BP-based scheme is fundamentally different from stochastic gradient descent (SGD), on which the current success of deep networks is based. In this paper, we present…

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