HIGHLIGHTS
SUMMARY
A special class of such algorithms is called consensus-based algorithms, see, e_g_[13-18]. As an alternative, diffusion-based approaches (see e_g_[20-22] and references therein) have been proposed that estimate a quantity in a distributed fashion within a network without enforcing consensus. Bayesian tools have been used in the past for inverse PDE problems (see, e_g_[3,28]). Most studies consider erroneous inter-agent links by integrating noise and link failures into the link model, see, e_g_[35,36]. In fact, e_g, using plain DNNs for decoding enables lowering of decoding . . .
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