{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T14:22:20Z","timestamp":1773843740318,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"PDRA","award":["PDRA7-0410-21004"],"award-info":[{"award-number":["PDRA7-0410-21004"]}]},{"DOI":"10.13039\/100008982","name":"Qatar National Research Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Sci. Eng."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/tnse.2024.3483295","type":"journal-article","created":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T17:22:33Z","timestamp":1729531353000},"page":"44-53","source":"Crossref","is-referenced-by-count":6,"title":["ONDS: Optimum Node and Data Selection From Constrained IoT for Efficient Online Learning"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3887-2520","authenticated-orcid":false,"given":"Alaa Awad","family":"Abdellatif","sequence":"first","affiliation":[{"name":"Computer Science, Engineering Department, Qatar University, Doha, Qatar"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5688-7515","authenticated-orcid":false,"given":"Khaled","family":"Shaban","sequence":"additional","affiliation":[{"name":"Computer Science, Engineering Department, Qatar University, Doha, Qatar"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9343-469X","authenticated-orcid":false,"given":"Ahmed","family":"Massoud","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Qatar University, Doha, Qatar"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2965856"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3200740"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3054244"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2022.3172937"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2000296"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3000374"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3066210"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3163279"},{"key":"ref9","article-title":"Communication efficient distributed machine learning with the parameter server","volume":"27","author":"Li","year":"2014","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3053588"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2954334"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2021.10.016"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2018.00137"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3081746"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2022.3189077"},{"key":"ref17","article-title":"Impact of communication delays on the convergence rate of distributed optimization algorithms","volume":"7","author":"Doan"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737602"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3100805"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3069264"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2017.2774507"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2020.2995502"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2017.2730225"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15712-8_59"},{"key":"ref25","article-title":"How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?","author":"Cho","year":"2015"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.97"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3446776"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2875470"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2868748"},{"key":"ref30","first-page":"45","article-title":"Support vector machine active learning with applications to text classification","volume":"2","author":"Tong","year":"2001","journal-title":"J. Mach. Learn. Res."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2589879"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2456899"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3162316"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3082496"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3165299"},{"key":"ref36","volume-title":"Inf. Theory and Statist.","author":"Kullback","year":"1997"},{"key":"ref37","article-title":"Distributed deep Q-learning","author":"Ong","year":"2015"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS50562.2020.9162964"},{"key":"ref39","article-title":"Deep learning scaling is predictable empirically","author":"Hestness","year":"2017"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2017.2785302"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36478-1_17"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3009406"},{"key":"ref44","volume-title":"Elements of Information Theory","author":"Cover","year":"2006"},{"key":"ref45","article-title":"Smart meter energy consumption data in London households","year":"2022"},{"key":"ref46","article-title":"MNIST dataset","year":"2022"},{"key":"ref47","article-title":"Master machine learning algorithms: Discover how they work and implement them from scratch","year":"2022"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155263"}],"container-title":["IEEE Transactions on Network Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488902\/10814995\/10726695.pdf?arnumber=10726695","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T06:54:04Z","timestamp":1735109644000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10726695\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":48,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnse.2024.3483295","relation":{},"ISSN":["2327-4697","2334-329X"],"issn-type":[{"value":"2327-4697","type":"electronic"},{"value":"2334-329X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}