{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T12:43:57Z","timestamp":1784637837681,"version":"3.55.0"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100004318","name":"Microsoft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004318","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tsp.2021.3115357","type":"journal-article","created":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T20:35:00Z","timestamp":1632774900000},"page":"5496-5511","source":"Crossref","is-referenced-by-count":15,"title":["Distributed and Quantized Online Multi-Kernel Learning"],"prefix":"10.1109","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7333-893X","authenticated-orcid":false,"given":"Yanning","family":"Shen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0893-6797","authenticated-orcid":false,"given":"Saeed","family":"Karimi-Bidhendi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6838-8038","authenticated-orcid":false,"given":"Hamid","family":"Jafarkhani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"65","article-title":"Cost sensitive online multiple kernel classification","author":"sahoo","year":"2016","journal-title":"Proc Asian Conf Mach Learn"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-16108-7_31"},{"key":"ref33","first-page":"3103","article-title":"Breaking the curse of kernelization: Budgeted stochastic gradient descent for large-scale SVM training","volume":"13","author":"wang","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref32","first-page":"908","article-title":"Online passive-aggressive algorithms on a budget","author":"wang","year":"2010","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390247"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5003-0"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-012-5319-2"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403298"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_5"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972795.78"},{"key":"ref60","article-title":"Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences","author":"bache","year":"2013"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2015.7168806"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2007.09.060"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.01.083"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2004.830991"},{"key":"ref64","first-page":"16","article-title":"Pr&#x00E9;dictions d&#x2019;activit&#x00E9; dans les r&#x00E9;seaux sociaux en ligne","author":"kawala","year":"2013","journal-title":"4i&#x00E8;me conf&#x00E9;rence sur les mod&#x00E8;les et l&#x2019;analyse des r&#x00E9;seaux Approches math&#x00E9;matiques et informatiques"},{"key":"ref27","first-page":"1","article-title":"Large scale online kernel learning","volume":"17","author":"lu","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1561\/2200000018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1137\/060666998"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2004.827234"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2327238"},{"key":"ref20","first-page":"682","article-title":"Using the Nystr&#x00F6;m method to speed up kernel machines","author":"williams","year":"2001","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","first-page":"113","article-title":"On the impact of kernel approximation on learning accuracy","author":"cortes","year":"2010","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2802446"},{"key":"ref24","first-page":"3041","article-title":"Scalable kernel methods via doubly stochastic gradients","author":"dai","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","first-page":"1177","article-title":"Random features for large-scale kernel machines","author":"rahimi","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.14778\/2212351.2212354"},{"key":"ref25","first-page":"1975","article-title":"Orthogonal random features","author":"yu","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970128"},{"key":"ref51","first-page":"1099","article-title":"Learning the kernel function via regularization","volume":"6","author":"micchelli","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref59","author":"lecun","year":"1998","journal-title":"The MNIST Database of Handwritten Digits"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23878-9_48"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.12.020"},{"key":"ref56","first-page":"437","article-title":"A public domain dataset for human activity recognition using smartphones","author":"anguita","year":"2013","journal-title":"Proc Eur Symp Artif Neural Netw Comp Intell Mach Learn"},{"key":"ref55","article-title":"QSGD: Randomized quantization for communication-optimal stochastic gradient descent","author":"alistarh","year":"2016"},{"key":"ref54","first-page":"2037","article-title":"Online ensemble multi-kernel learning adaptive to non-stationary and adversarial environments","author":"shen","year":"2018","journal-title":"Proc 21st Int Conf Artif Intell Statist"},{"key":"ref53","first-page":"2211","article-title":"Multiple kernel learning algorithms","volume":"12","author":"g\u00f6nen","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref52","first-page":"109","article-title":"$\\ell _2$-regularization for learning kernels","author":"cortes","year":"2009","journal-title":"Proc 25th Conf Uncertainty Artif Intell"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2016226"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2024278"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623712"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2008.917383"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2018648"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1791212.1791218"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2781640"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIT.2014.33"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472461"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000677"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2008.06.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849271"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/s140202822"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149186"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3023065"},{"key":"ref49","author":"sch\u00f6lkopf","year":"2002","journal-title":"Learning With Kernels Support Vector Machines Regularization Optimization and Beyond"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2016.2590541"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2907258"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2019.8755802"},{"key":"ref48","first-page":"773","article-title":"Random feature-based online multi-kernel learning in environments with unknown dynamics","volume":"20","author":"shen","year":"2019","journal-title":"J Mach Learn Res"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105146"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.18"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3156684"},{"key":"ref44","first-page":"423","article-title":"Adaptive kernel learning in heterogeneous networks","volume":"7","author":"pradhan","year":"2021","journal-title":"IEEE Trans Signal Inf Process Netw"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2830299"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/9307529\/09548821.pdf?arnumber=9548821","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:34Z","timestamp":1652194234000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9548821\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/tsp.2021.3115357","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}