Sparse Distributed Learning via Heterogeneous Diffusion Adaptive Networks

26 Oct 2014Bijit Kumar DasMrityunjoy ChakrabortyJerónimo Arenas-García

In-network distributed estimation of sparse parameter vectors via diffusion LMS strategies has been studied and investigated in recent years. In all the existing works, some convex regularization approach has been used at each node of the network in order to achieve an overall network performance superior to that of the simple diffusion LMS, albeit at the cost of increased computational overhead... (read more)

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