Consensus Based Distributed Sparse Bayesian Learning by Fast Marginal Likelihood Maximization
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DOI: 10.1109/lsp.2020.3039481
Abstract: For swarm systems, distributed processing is of paramount importance and Bayesian methods are preferred for their robustness. Existing distributed sparse Bayesian learning (SBL) methods rely on the automatic relevance determination (ARD), which involves a computationally… read more here.
Keywords: fast marginal; distributed sparse; likelihood maximization; marginal likelihood ... See more keywords