{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:05:23Z","timestamp":1775912723321,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"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":["62272391"],"award-info":[{"award-number":["62272391"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017591","name":"Key Industry Innovation Chain of Shaanxi","doi-asserted-by":"publisher","award":["2021ZDLGY05-08"],"award-info":[{"award-number":["2021ZDLGY05-08"]}],"id":[{"id":"10.13039\/501100017591","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Defense Industrial Technology Development Program","award":["JCKY2020204B027"],"award-info":[{"award-number":["JCKY2020204B027"]}]},{"name":"Defense Industrial Technology Development Program","award":["JCKY2021110B143"],"award-info":[{"award-number":["JCKY2021110B143"]}]},{"name":"Defense Industrial Technology Development Program","award":["JCKY2021608B001"],"award-info":[{"award-number":["JCKY2021608B001"]}]},{"name":"Shanghai Sailing Program","award":["21YF1451100"],"award-info":[{"award-number":["21YF1451100"]}]},{"DOI":"10.13039\/501100017596","name":"Natural Science Basic Research Program of Shaanxi","doi-asserted-by":"publisher","award":["2022JQ-625"],"award-info":[{"award-number":["2022JQ-625"]}],"id":[{"id":"10.13039\/501100017596","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["D5000210591"],"award-info":[{"award-number":["D5000210591"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2023,3,1]]},"DOI":"10.1109\/jiot.2022.3215805","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T21:45:32Z","timestamp":1667511932000},"page":"4257-4270","source":"Crossref","is-referenced-by-count":56,"title":["FedTAR: Task and Resource-Aware Federated Learning for Wireless Computing Power Networks"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7086-4910","authenticated-orcid":false,"given":"Wen","family":"Sun","sequence":"first","affiliation":[{"name":"School of Cybersecurity, Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0810-2613","authenticated-orcid":false,"given":"Zongjun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6768-3016","authenticated-orcid":false,"given":"Qubeijian","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Cybersecurity, Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8561-5092","authenticated-orcid":false,"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Informatics, University of Oslo, Oslo, Norway"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17240"},{"key":"ref35","article-title":"Federated optimization in heterogeneous networks","author":"li","year":"2018"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.111.2100044"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2100121"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref30","first-page":"2270","article-title":"Learning the number of neurons in deep networks","author":"alvarez","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst (NIPS)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3034674"},{"key":"ref33","first-page":"1273","article-title":"Communication-efficient learning of deep networks from Decentralized data","volume":"54","author":"mcmahan","year":"2017","journal-title":"Proc 20th Int Conf Artif Intell Stat"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3357150.3357395"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3096928"},{"key":"ref1","year":"2018","journal-title":"Cisco global cloud index Forecast and methodology 2016&#x2013;2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3466752.3480129"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2956615"},{"key":"ref19","article-title":"FedAT: A communication-efficient federated learning method with asynchronous tiers under non-IID data","author":"chai","year":"2020","journal-title":"arXiv 2010 05958"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3369583.3392686"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2953131"},{"key":"ref26","first-page":"2847","article-title":"On the expressive power of deep neural networks","volume":"70","author":"raghu","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn (ICML)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/10556788.2017.1298596"},{"key":"ref20","first-page":"1","article-title":"Do wide and deep networks learn the same things? Uncovering how neural network representations vary with width and depth","author":"nguyen","year":"2021","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref22","first-page":"1","article-title":"Federated learning: Strategies for improving communication efficiency","author":"kone?n\u00fd","year":"2016","journal-title":"Proc NIPS Workshop Private Multi-Party Mach Learn"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10243"},{"key":"ref28","first-page":"1376","article-title":"Norm-based capacity control in neural networks","volume":"40","author":"neyshabur","year":"2015","journal-title":"Proc 28th Conf Learn Theory"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2293637"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/425740"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LCN52139.2021.9525006"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/HPSR52026.2021.9481792"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2996784"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3079510"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN52240.2021.9522153"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSN52437.2021.9463597"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2997475"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10049212\/09925061.pdf?arnumber=9925061","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,13]],"date-time":"2023-03-13T18:01:52Z","timestamp":1678730512000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9925061\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,1]]},"references-count":35,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2022.3215805","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,1]]}}}