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Tsourdos, \u201cDistributed estimation over a low-cost sensor network: A review of state-of-the-art,\u201d Information Fusion, vol.54, pp.21-43, 2020. 10.1016\/j.inffus.2019.06.026","DOI":"10.1016\/j.inffus.2019.06.026"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] R. Adachi, Y. Yamashita, and K. Kobayashi, \u201cDistributed optimal estimation with scalable communication cost,\u201d IEICE Trans. Fundamentals, vol.E104-A, no.11, pp.1470-1476, Nov. 2021. 10.1587\/transfun.2020kep0002","DOI":"10.1587\/transfun.2020KEP0002"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] S. Boyd, N. Parikh, and E. Chu, Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Now Publishers, 2011. 10.1561\/9781601984616","DOI":"10.1561\/9781601984616"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] S.S. Ram, A. Nedic, and V.V. 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