Communication efficient distributed estimation
Proceedings of the IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016
1677 - 1680
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In this paper, we consider the problem of distributed estimation over adaptive networks with reduced load on communication resources. Novel diffusion strategies are presented that achieve up to three orders-of-magnitude reduction in the communication load on the network, while matching the state-of-the-art in performance. Specifically, the information transfer between the nodes of the network is conditioned on the level-crossings of the diffused parameter. We perform the mean stability analysis of the proposed algorithm, and provide numerical examples to verify the theoretical results.