{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T17:47:36Z","timestamp":1778608056307,"version":"3.51.4"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Program on Key Basic Research Project","award":["2018AAA0100704"],"award-info":[{"award-number":["2018AAA0100704"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11825104"],"award-info":[{"award-number":["11825104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11690013"],"award-info":[{"award-number":["11690013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Youth Talent Support Program"},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2021SHZDZX0102"],"award-info":[{"award-number":["2021SHZDZX0102"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12001109"],"award-info":[{"award-number":["12001109"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92046021"],"award-info":[{"award-number":["92046021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Sailing Program","award":["19YF1402800"],"award-info":[{"award-number":["19YF1402800"]}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["20dz1200600"],"award-info":[{"award-number":["20dz1200600"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tsp.2022.3146785","type":"journal-article","created":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T22:30:41Z","timestamp":1643322641000},"page":"797-809","source":"Crossref","is-referenced-by-count":12,"title":["Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5449-9180","authenticated-orcid":false,"given":"Weidong","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9362-508X","authenticated-orcid":false,"given":"Xiaojun","family":"Mao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0784-2038","authenticated-orcid":false,"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"5336","article-title":"Can decentralized algorithms outperform centralized algorithms? A case study for decentralized parallel stochastic gradient descent","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lian","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2008.2009515"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2047721"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2006.1657817"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.906734"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/79.985685"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2012.2219061"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2007.338264"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2011.2114734"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2245726"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2012.2219629"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1137\/130943170"},{"key":"ref13","first-page":"1662","article-title":"Communication-efficient distributed optimization in networks with gradient tracking and variance reduction","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Li","year":"2020"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176342503"},{"issue":"182","key":"ref15","first-page":"1","article-title":"Distributed high-dimensional regression under a quantile loss function","volume":"21","author":"Chen","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2055862"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2367458"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2461520"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2232663"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2017.2699923"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2018.11.021"},{"issue":"5","key":"ref22","first-page":"1","article-title":"Communication-efficient sparse regression","volume":"18","author":"Lee","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1214\/17-AOS1587"},{"key":"ref24","first-page":"3636","article-title":"Efficient distributed learning with sparsity","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wang","year":"2017"},{"key":"ref25","first-page":"343","article-title":"Distributed inexact newton-type pursuit for non-convex sparse learning","volume-title":"Proc. 22nd Int. Conf. Artif. Intell. Statist.","author":"Liu","year":"2019"},{"key":"ref26","first-page":"3","article-title":"Distributed delayed proximal gradient methods","volume-title":"Proc. Neural Inf. Process. Syst. Workshop Optim. Mach. Learn.","volume":"3","author":"Li","year":"2013"},{"issue":"1","key":"ref27","first-page":"733","article-title":"Distributed proximal gradient algorithm for partially asynchronous computer clusters","volume":"19","author":"Zhou","year":"2018","journal-title":"J. Mach. Learn. Res."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/0898-1221(76)90003-1"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2926022"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1198\/106186008X289155"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1214\/10-aos827"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2012.656014"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1214\/17-AOS1551"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511754098"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1214\/18-AOS1730"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1214\/18-AOS1777"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2018.2884998"},{"key":"ref38","article-title":"Adjacency matrix","author":"Weisstein","year":"2007"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1561\/2200000051"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2304432"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2015.1114491"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1137\/151004549"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s10915-015-0048-x"},{"key":"ref44","article-title":"Distributed linear model clustering over networks: A tree-based fused-Lasso ADMM approach","author":"Zhang","year":"2019"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2017.1345703"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753382273"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1214\/ECP.v19-3807"},{"key":"ref48","first-page":"2541","article-title":"On model selection consistency of Lasso","volume":"7","author":"Zhao","year":"2006","journal-title":"J. Mach. Learn. Res."},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2009.2016018"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20192-9"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1201\/b18401"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1214\/13-AOS1191"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000929"},{"key":"ref54","article-title":"Communities and crime data set","author":"Redmond","year":"2009"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2019.06.007"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/9675017\/09695243.pdf?arnumber=9695243","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:27:46Z","timestamp":1705184866000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9695243\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tsp.2022.3146785","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}