{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T04:25:46Z","timestamp":1776399946135,"version":"3.51.2"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2020YFB1807700"],"award-info":[{"award-number":["2020YFB1807700"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62071356"],"award-info":[{"award-number":["62071356"]}],"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":["62320106006"],"award-info":[{"award-number":["62320106006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1109\/tmc.2023.3309633","type":"journal-article","created":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T13:30:57Z","timestamp":1693402257000},"page":"5462-5478","source":"Crossref","is-referenced-by-count":92,"title":["RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-8105-3429","authenticated-orcid":false,"given":"Jinglong","family":"Shen","sequence":"first","affiliation":[{"name":"School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7907-2071","authenticated-orcid":false,"given":"Nan","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1439-4875","authenticated-orcid":false,"given":"Xiucheng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2990-5415","authenticated-orcid":false,"given":"Feng","family":"Lyu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0983-387X","authenticated-orcid":false,"given":"Wenchao","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Computing, Hong Kong Polytechnic University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0537-4522","authenticated-orcid":false,"given":"Zhi","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer and Network Engineering, The University of Electro-Communications, Tokyo, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4051-815X","authenticated-orcid":false,"given":"Khalid","family":"Aldubaikhy","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Qassim University, Buraydah, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4140-287X","authenticated-orcid":false,"given":"Xuemin","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3505244"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2979670"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1561\/116.00000050"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3191112"},{"key":"ref5","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2021.12.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2022.3214234"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2906789"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_2"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01607"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3134647"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3031503"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3166941"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3056991"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036948"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3157603"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.2993966"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2942190"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2977383"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2018.05.003"},{"key":"ref27","article-title":"Split learning for health: Distributed deep learning without sharing raw patient data","author":"Vepakomma","year":"2018"},{"key":"ref28","first-page":"1","article-title":"Label leakage and protection in two-party split learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li"},{"key":"ref29","article-title":"Server-side local gradient averaging and learning rate acceleration for scalable split learning","author":"Pal","year":"2021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20825"},{"key":"ref31","first-page":"1","article-title":"Accelerating federated learning with split learning on locally generated losses","volume-title":"Proc. Workshop Federated Learn. User Privacy Data Confidentiality","author":"Han"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512153"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3213411"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-15184-5"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD53861.2021.00038"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3510033"},{"key":"ref37","article-title":"PyVertical: A vertical federated learning framework for multi-headed splitnn","author":"Romanini","year":"2021"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2828120"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3359789.3359824"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i13.17387"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref42","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref44","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref46","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2021.3063517"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7755\/10491282\/10234718.pdf?arnumber=10234718","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T16:05:36Z","timestamp":1712678736000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10234718\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":47,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2023.3309633","relation":{"is-supplemented-by":[{"id-type":"doi","id":"10.36227\/techrxiv.22873598.v1","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.22873598","asserted-by":"object"}],"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.22873598.v1","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.22873598","asserted-by":"object"}]},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}