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https://open.uns.ac.rs/handle/123456789/15821
Nаziv: | Communication Efficient Distributed Estimation over Directed Random Graphs | Аutоri: | Sahu A. Jakovetić, Dušan Bajović, Dragana Kar S. |
Dаtum izdаvаnjа: | 1-јул-2019 | Čаsоpis: | EUROCON 2019 - 18th International Conference on Smart Technologies | Sažetak: | © 2019 IEEE. Recently, a communication efficient recursive distributed estimator, CREDO, has been proposed, that utilizes increasingly sparse randomized bidirectional communications. < p> CREDO achieves order-optimal O(1/t) mean square error (MSE) rate in the number of per-node processed samples t, and a < p> O(1/Ct2-ζ) MSE rate in the number of per-node communications, where ζ > 0 is arbitrarily small. In this paper, we present directed C R E D O, D-CREDO for short-a distributed recursive estimator that utilizes directed increasingly sparse communications. We show that D-CREDO further dramatically improves communication efficiency, achieving the O(1/cT) communication MSE rate with arbitrarily high exponent κ, while keeping the order-optimal O(1/t) sample-wise MSE rate. Numerical examples on real data sets confirm our results. | URI: | https://open.uns.ac.rs/handle/123456789/15821 | ISBN: | 9781538693018 | DOI: | 10.1109/EUROCON.2019.8861544 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
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