{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T21:29:50Z","timestamp":1771018190678,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Project by the Ministry of Agriculture and Rural Affairs"},{"name":"Key Research and Development Program of Heilongjiang Province","award":["2022ZX01A22"],"award-info":[{"award-number":["2022ZX01A22"]}]},{"name":"Key Research and Development Program of Heilongjiang Province","award":["2021ZXJ05A03"],"award-info":[{"award-number":["2021ZXJ05A03"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62350710797"],"award-info":[{"award-number":["62350710797"]}],"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":["61972114"],"award-info":[{"award-number":["61972114"]}],"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":["62106061"],"award-info":[{"award-number":["62106061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Science and Technology Major Project of China","award":["2021ZD0110901"],"award-info":[{"award-number":["2021ZD0110901"]}]},{"name":"collaborative innovation and promotion system of the modern agricultural industry technology for watermelon and melon in Heilongjiang Province"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tvt.2025.3604824","type":"journal-article","created":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T17:30:52Z","timestamp":1756834252000},"page":"3174-3189","source":"Crossref","is-referenced-by-count":0,"title":["Model Lightweight Strategy Under Federated Edge Learning Framework"],"prefix":"10.1109","volume":"75","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1631-834X","authenticated-orcid":false,"given":"Yinlong","family":"Li","sequence":"first","affiliation":[{"name":"Faculty of Computing, Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1263-9907","authenticated-orcid":false,"given":"Siyao","family":"Cheng","sequence":"additional","affiliation":[{"name":"Faculty of Computing, Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6769-2115","authenticated-orcid":false,"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Faculty of Computing, Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5786-0392","authenticated-orcid":false,"given":"Dongbo","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Computing, Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6209-6886","authenticated-orcid":false,"given":"Jie","family":"Liu","sequence":"additional","affiliation":[{"name":"Faculty of Computing, Harbin Institute of Technology, Harbin, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3503417"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3112466"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3372016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.11.009"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2023.3337320"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2023.3341789"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3309088"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3306939"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3308589"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3352051"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127124"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3247798"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3149783"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3555807"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3174715"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3230840"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/computers12030060"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3327795"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i21.30388"},{"key":"ref20","article-title":"Edge guided gans with contrastive learning for semantic image synthesis","volume-title":"Proc. 11th Int. Conf. Learn. Representations","author":"Tang","year":"2023"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3641821"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01783-0"},{"key":"ref23","article-title":"Recycling model updates in federated learning: Are gradient subspaces low-rank?","volume-title":"Proc. 10th Int. Conf. Learn. Representations, ICLR 2022, Virtual Event","author":"Azam","year":"2022"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3284381"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.126"},{"key":"ref26","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3243622"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3229374"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.01.146"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106476"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03486-4"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2023-1442"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03403-9"},{"key":"ref34","article-title":"SOSP: Efficiently capturing global correlations by second-order structured pruning","volume-title":"Proc. 10th Int. Conf. Learn. Representations, ICLR 2022, Virtual Event, Apr. 25-29, 2022","author":"Nonnenmacher","year":"2022"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00198"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.267"},{"key":"ref37","article-title":"Revisiting loss modelling for unstructured pruning","author":"Laurent","year":"2020"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3153488"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126060"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3382893"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3399011"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3304176"},{"key":"ref43","article-title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks","volume-title":"Proc. 7th Int. Conf. Learn. Representations","author":"Frankle","year":"2019"},{"key":"ref44","article-title":"To prune, or not to prune: Exploring the efficacy of pruning for model compression","author":"Zhu","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20819"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2020.3015671"},{"key":"ref47","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":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3172114"},{"key":"ref49","article-title":"On convergence of fedprox: Local dissimilarity invariant bounds, non-smoothness and beyond","author":"Yuan","year":"2022"},{"key":"ref50","article-title":"Think locally, act globally: Federated learning with local and global representations","author":"Liang","year":"2020"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110909"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3288886"},{"key":"ref53","article-title":"A simple and effective pruning approach for large language models","author":"Sun","year":"2023"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/25\/11395176\/11146606.pdf?arnumber=11146606","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T20:49:56Z","timestamp":1771015796000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11146606\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":53,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2025.3604824","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}