{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:18:14Z","timestamp":1776885494059,"version":"3.51.2"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62203373"],"award-info":[{"award-number":["62203373"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tsp.2023.3322791","type":"journal-article","created":{"date-parts":[[2023,10,12]],"date-time":"2023-10-12T17:53:34Z","timestamp":1697133214000},"page":"3679-3694","source":"Crossref","is-referenced-by-count":4,"title":["Online Power Control for Distributed Multitask Learning Over Noisy Fading Wireless Channels"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-7876-5764","authenticated-orcid":false,"given":"Kai","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0190-4362","authenticated-orcid":false,"given":"Xuanyu","family":"Cao","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref57","first-page":"437","article-title":"A public domain dataset for human activity recognition using smartphones","author":"anguita","year":"0","journal-title":"Proc 21th Int Eur Symp Artif Neural Netw Comput Intell Mach Learn"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.3035770"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2004.03.020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126078"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126060"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops49005.2020.9145118"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3124949"},{"key":"ref52","first-page":"1","volume":"3","author":"neely","year":"2010","journal-title":"Stochastic Network Optimization With Application to Communication and Queueing Systems (Synthesis Lectures on Communication Networks)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2808280"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3048229"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2868679"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036948"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2022.3186879"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3025446"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3031503"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2016.2560813"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1137\/120887795"},{"key":"ref46","article-title":"Distributed multi-task learning with shared representation","author":"wang","year":"2016"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946245"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05847-6"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098152"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3073112"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3180807"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1137\/120891009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2005.843546"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3046971"},{"key":"ref9","article-title":"Deep gradient compression: Reducing the communication bandwidth for distributed training","author":"lin","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098136"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118396"},{"key":"ref5","first-page":"1306","article-title":"Gradient sparsification for communication-efficient distributed optimization","volume":"31","author":"wangni","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","first-page":"567","article-title":"Stochastic dual coordinate ascent methods for regularized loss minimization","volume":"14","author":"shalev-shwartz","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref35","article-title":"A convex formulation for learning task relationships in multi-task learning","author":"zhang","year":"2012"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3070203"},{"key":"ref37","first-page":"745","article-title":"Clustered multi-task learning: A convex formulation","volume":"21","author":"jacob","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3201310"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ISNCC55209.2022.9851727"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN54977.2022.9868915"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685246"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2018.8647894"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3054625"},{"key":"ref39","first-page":"3068","article-title":"Communication-efficient distributed dual coordinate ascent","volume":"27","author":"jaggi","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","first-page":"1973","article-title":"Adding vs. averaging in distributed primal-dual optimization","author":"ma","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2015.10.308"},{"key":"ref23","first-page":"1973","article-title":"Adding vs. averaging in distributed primal-dual optimization","author":"ma","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref26","first-page":"15434","article-title":"Federated multi-task learning under a mixture of distributions","volume":"34","author":"marfoq","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","first-page":"751","article-title":"Distributed multi-task learning","author":"wang","year":"0","journal-title":"Proc Artif Intell Stat"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118351"},{"key":"ref22","first-page":"5132","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","author":"karimireddy","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref21","first-page":"4427","article-title":"Federated multi-task learning","volume":"30","author":"smith","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2966273"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3287333"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9838961"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/10040758\/10281395.pdf?arnumber=10281395","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T19:29:10Z","timestamp":1699385350000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10281395\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/tsp.2023.3322791","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}