{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T17:10:30Z","timestamp":1773335430281,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Zhejiang Lab","award":["2019KB0AB02"],"award-info":[{"award-number":["2019KB0AB02"]}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["61625301"],"award-info":[{"award-number":["61625301"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["61731018"],"award-info":[{"award-number":["61731018"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Lab","award":["2019KB0AC01"],"award-info":[{"award-number":["2019KB0AC01"]}]},{"name":"Zhejiang Lab","award":["2019KB0AB02"],"award-info":[{"award-number":["2019KB0AB02"]}]},{"name":"Beijing Academy of Artificial Intelligence"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tsp.2020.3018317","type":"journal-article","created":{"date-parts":[[2020,8,21]],"date-time":"2020-08-21T19:56:32Z","timestamp":1598039792000},"page":"4855-4870","source":"Crossref","is-referenced-by-count":35,"title":["Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters"],"prefix":"10.1109","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1286-6552","authenticated-orcid":false,"given":"Huan","family":"Li","sequence":"first","affiliation":[]},{"given":"Cong","family":"Fang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6697-9731","authenticated-orcid":false,"given":"Wotao","family":"Yin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1493-7569","authenticated-orcid":false,"given":"Zhouchen","family":"Lin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2004.02.022"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11075-013-9750-7"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-010-0251-1"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2017.2713046"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2017.2677879"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1137\/130943170"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1109\/TSIPN.2018.2846183","article-title":"A unification and generalization of exact distributed first order methods","volume":"5","author":"jakoveti?","year":"0","journal-title":"IEEE Trans Signal Inf Process Over Netw"},{"key":"ref35","first-page":"1529","article-title":"Prox-PDA: The proximal primal-dual algorithm for fast distributed nonconvex optimization and learning over networks","author":"hong","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref34","first-page":"953","article-title":"Network topology and communication-computation tradeoffs in decentralized optimization","volume":"106","author":"nedi?","year":"0","journal-title":"Proc IEEE"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6736937"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2304432"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2015.2448011"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2009.5062275"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2038417"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1137\/14096668X"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2018.2880407"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2461520"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2017.2738153"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3182\/20110828-6-IT-1002.01959"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2162831"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-018-1355-4"},{"key":"ref50","first-page":"1458","article-title":"Convergence rates of inexact proximal-gradient methods for convex optimization","author":"schmidt","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-004-0552-5"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2016.7869675"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1137\/S0036144503423264"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s10915-018-0893-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8853-9"},{"key":"ref11","first-page":"1","article-title":"Optimal convergence rates for convex distributed optimization in networks","volume":"20","author":"scaman","year":"2019","journal-title":"J Mach Learn Res"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2011.10.005"},{"key":"ref12","first-page":"3027","article-title":"Optimal algorithms for smooth and strongly convex distributed optimization in networks","author":"scaman","year":"0","journal-title":"Proc Int Conf Mach Learning (ICML)"},{"key":"ref13","first-page":"2740","article-title":"Optimal algorithms for non-smooth distributed optimization in networks","author":"scaman","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref14","first-page":"48","article-title":"Distributed subgradient methods for multi-agent optimization","volume":"54","author":"nedi?","year":"0","journal-title":"IEEE Trans Autom Control"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.1109\/TAC.2010.2079650","article-title":"Asynchronous broadcast-based convex optimization over a network","volume":"56","author":"nedi?","year":"2011","journal-title":"IEEE Trans Autom Control"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1007\/s10957-010-9737-7","article-title":"Distributed stochastic subgradient projection algorithms for convex optimization","volume":"147","author":"ram","year":"2010","journal-title":"J Optim Theory Appl"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2015.7402509"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2016.7798263"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1137\/16M1084316"},{"key":"ref4","first-page":"165","article-title":"Optimal distributed online prediction using mini-batches","volume":"13","author":"dekel","year":"0","journal-title":"J Mach Learn Res"},{"key":"ref3","first-page":"4237","article-title":"Consensus based formation control strategies for multi-vehicle systems","author":"ren","year":"0","journal-title":"Proc Amer Control Conf"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2012.6426626"},{"key":"ref5","first-page":"1663","article-title":"Consensus-based distributed support vector machines","volume":"59","author":"forero","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2014.2298712"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2019.2937496"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-013-0677-5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/10556788.2020.1750013"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1080\/10556788.2017.1380642"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-012-0588-x"},{"key":"ref48","first-page":"509","article-title":"On an approach to the construction of optimal methods of minimization of smooth convex functions","volume":"24","author":"nesterov","year":"1988","journal-title":"&#x00C8;konomika I Mateaticheskie Metody"},{"key":"ref47","first-page":"543","article-title":"A method for unconstrained convex minimization problem with the rate of convergence ${O}(1\/k^2)$","volume":"269","author":"nesterov","year":"1983","journal-title":"Doklady AN SSSR"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-015-0955-5"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13495-1_89"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1137\/140992382"},{"key":"ref43","article-title":"Accelerated gradient sliding for structured convex optimization","author":"lan","year":"2016"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/78\/8933520\/9173772-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/8933520\/09173772.pdf?arnumber=9173772","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:40:49Z","timestamp":1651070449000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9173772\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/tsp.2020.3018317","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}