{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T22:15:33Z","timestamp":1784585733781,"version":"3.55.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T00:00:00Z","timestamp":1718409600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T00:00:00Z","timestamp":1718409600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T00:00:00Z","timestamp":1718409600000},"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":["62202103"],"award-info":[{"award-number":["62202103"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372111"],"award-info":[{"award-number":["62372111"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Central Funds Guiding the Local Science and Technology Development","award":["2022L3004"],"award-info":[{"award-number":["2022L3004"]}]},{"name":"Fujian Province Technology and Economy Integration Service Platform","award":["2023XRH001"],"award-info":[{"award-number":["2023XRH001"]}]},{"name":"Fuzhou\u2013Xiamen\u2013Quanzhou National Independent Innovation Demonstration Zone Collaborative Innovation Platform","award":["2022FX5"],"award-info":[{"award-number":["2022FX5"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2024,6,15]]},"DOI":"10.1109\/jiot.2024.3365675","type":"journal-article","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T23:58:57Z","timestamp":1707868737000},"page":"21180-21190","source":"Crossref","is-referenced-by-count":9,"title":["Lightweight Federated Graph Learning for Accelerating Classification Inference in UAV-Assisted MEC Systems"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-9960-5382","authenticated-orcid":false,"given":"Luying","family":"Zhong","sequence":"first","affiliation":[{"name":"College of Computer and Data Science, the Engineering Research Center of Big Data Intelligence, Ministry of Education, and the Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6349-068X","authenticated-orcid":false,"given":"Zheyi","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, the Engineering Research Center of Big Data Intelligence, Ministry of Education, and the Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0768-7859","authenticated-orcid":false,"given":"Hongju","family":"Cheng","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, the Engineering Research Center of Big Data Intelligence, Ministry of Education, and the Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4974-6116","authenticated-orcid":false,"given":"Jie","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3076021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2023.3324505"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3283353"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3074523"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2200223"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3331722"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3088655"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107140"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-021-01245-9"},{"key":"ref10","first-page":"6671","article-title":"Subgraph federated learning with missing neighbor generation","volume-title":"Proc. 35th Adv. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref11","first-page":"18839","article-title":"Federated graph classification over non-IID graphs","volume-title":"Proc. 35th Adv. Neural Inf. Process. Syst.","author":"Xie"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3075439"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2023.3312276"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3116236"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3028011"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3081049"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3151945"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3282648"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3283353"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3477141"},{"key":"ref21","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. 5th Int. Conf. Learn. Represent.","author":"Kipf"},{"key":"ref22","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. 6th Int. Conf. Learn. Represent.","author":"Velickovic"},{"key":"ref23","first-page":"1","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. 30th Adv. Neural Inf. Process. Syst.","author":"Defferrard"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3125565"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00309"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3188728"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3179391"},{"key":"ref28","article-title":"FD-GATDR: A federated-decentralized-learning graph attention network for doctor recommendation using EHR","author":"Bi","year":"2022","journal-title":"arXiv:2207.05750"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3230987"},{"key":"ref30","first-page":"20437","article-title":"Graph information bottleneck","volume-title":"Proc. 34th Adv. Neural Inf. Process. Syst.","author":"Wu"},{"key":"ref31","first-page":"1","article-title":"Graph information bottleneck for subgraph recognition","volume-title":"Proc. 9th Int. Conf. Learn. Represent.","author":"Yu"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2023.3330684"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.823"},{"key":"ref34","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Stat.","author":"McMahan"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2010.2068870"},{"key":"ref36","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Wu"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-72150-7_19"},{"key":"ref38","first-page":"40","article-title":"Revisiting semi-supervised learning with graph embeddings","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yang"},{"key":"ref39","article-title":"Wiki-CS: A Wikipedia-based benchmark for graph neural networks","author":"Mernyei","year":"2022","journal-title":"arXiv:2007.02901"},{"key":"ref40","article-title":"FedGCN: Convergence and communication tradeoffs in federated training of graph convolutional networks","author":"Yao","year":"2023","journal-title":"arXiv:2201.12433"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10551641\/10433561.pdf?arnumber=10433561","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T04:41:20Z","timestamp":1725338480000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10433561\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,15]]},"references-count":40,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2024.3365675","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,15]]}}}