{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T09:33:24Z","timestamp":1779356004873,"version":"3.51.4"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["FT210100624"],"award-info":[{"award-number":["FT210100624"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Discovery Project","award":["DP190101985"],"award-info":[{"award-number":["DP190101985"]}]},{"name":"Discovery Early Career Research Award","award":["DE200101465"],"award-info":[{"award-number":["DE200101465"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/jbhi.2022.3140455","type":"journal-article","created":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T20:29:47Z","timestamp":1641414587000},"page":"2778-2786","source":"Crossref","is-referenced-by-count":7,"title":["Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent"],"prefix":"10.1109","volume":"26","author":[{"given":"Guanhua","family":"Ye","sequence":"first","affiliation":[{"name":"School of Information Technology & Electric Engineering, The University of Queensland, Saint Lucia, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1395-261X","authenticated-orcid":false,"given":"Hongzhi","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Information Technology & Electric Engineering, The University of Queensland, Saint Lucia, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7269-146X","authenticated-orcid":false,"given":"Tong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Information Technology & Electric Engineering, The University of Queensland, Saint Lucia, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miao","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Information Technology & Electric Engineering, The University of Queensland, Saint Lucia, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9687-1315","authenticated-orcid":false,"given":"Quoc Viet Hung","family":"Nguyen","sequence":"additional","affiliation":[{"name":"School of Information and Communication Technology, Griffith University, Southport, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8031-9086","authenticated-orcid":false,"given":"Jiangning","family":"Song","sequence":"additional","affiliation":[{"name":"School of Biomedical Sciences and Monash Biomedicine Discovery Institute, Monash University, Clayton, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.1995.03520300057037"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2020.5928"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3004143"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3050113"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401042"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2775180"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1240"},{"key":"ref8","first-page":"1885","article-title":"Understanding black-box predictions via influence functions","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Koh","year":"2017"},{"key":"ref9","first-page":"473","article-title":"Personalized and private peer-to-peer machine learning","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Bellet","year":"2018"},{"key":"ref10","article-title":"Federated optimization: Distributed optimization beyond the datacenter","author":"Konen","year":"2015"},{"key":"ref11","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"Konen","year":"2016"},{"key":"ref12","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist","author":"McMahan","year":"2017"},{"key":"ref13","first-page":"1719","article-title":"On the convergence of block coordinate descent in training DNNs with Tikhonov regularization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang","year":"2017"},{"key":"ref14","article-title":"A proximal block coordinate descent algorithm for deep neural network training","volume-title":"Proc. 6th Int. Conf. Learning Representations","author":"Lau","year":"2018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1023\/A:1017501703105"},{"key":"ref16","first-page":"7313","article-title":"Global convergence of block coordinate descent in deep learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zeng","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159688"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449813"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-021-00700-6"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.874516"},{"issue":"1","key":"ref21","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.sysconle.2004.02.022","article-title":"Fast linear iterations for distributed averaging","volume":"53","author":"Xiao","year":"2004","journal-title":"Syst. Control Lett."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467220"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380170"},{"key":"ref24","first-page":"2021","article-title":"FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Reisizadeh","year":"2020"},{"key":"ref25","article-title":"Towards federated learning at scale: System design","volume-title":"Proc. 2nd SysML Conf.","author":"Bonawitz","year":"2019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.23919\/IFIPNetworking52078.2021.9472790"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2014.2298712"},{"key":"ref28","article-title":"Optimal algorithms for non-smooth distributed optimization in networks","author":"Scaman","year":"2018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2020.3014095"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ITA50056.2020.9244951"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2014.7028543"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CAMSAP.2015.7383850"},{"key":"ref33","first-page":"3478","article-title":"Decentralized stochastic optimization and gossip algorithms with compressed communication","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Koloskova","year":"2019"},{"key":"ref34","first-page":"7202","article-title":"Distributed learning over unreliable networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yu","year":"2019"},{"key":"ref35","first-page":"344","article-title":"Stochastic gradient push for distributed deep learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Assran","year":"2019"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref37","first-page":"10","article-title":"Distributed optimization of deeply nested systems","volume-title":"Proc. Artif. Intell. Statist.","author":"Carreira-Perpinan","year":"2014"},{"key":"ref38","article-title":"Lifted neural networks","author":"Askari","year":"2018"},{"key":"ref39","first-page":"2722","article-title":"Training neural networks without gradients: A scalable ADMM approach","volume-title":"Proc. Int. Conf. Mach. Learn","author":"Taylor","year":"2016"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.165"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1137\/120887795"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10915-017-0376-0"},{"key":"ref43","first-page":"3362","article-title":"Fenchel lifted networks: A lagrange relaxation of neural network training","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Gu","year":"2020"},{"key":"ref44","first-page":"509","article-title":"Decentralized collaborative learning of personalized models over networks","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist","author":"Vanhaesebrouck","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/18.7.557"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0103877"},{"key":"ref47","first-page":"246","article-title":"A manual for standardized terminology, techniques and scoring system for sleep stages in human subjects","volume":"20","author":"Rechtschaffen","year":"1968","journal-title":"Brain Inf. Serv."},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-54146-0_3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1046\/j.1440-1819.1999.00527.x"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2997473"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref52","article-title":"Distributed distillation for on-device learning","volume":"33","author":"Bistritz","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9788469\/09670660.pdf?arnumber=9670660","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:04:06Z","timestamp":1705183446000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9670660\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":52,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2022.3140455","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6]]}}}