{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:47:39Z","timestamp":1756000059266,"version":"3.41.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"13","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Opening Project of Intelligent Policing Key Laboratory of Sichuan Province","award":["ZNJW2023KFMS002"],"award-info":[{"award-number":["ZNJW2023KFMS002"]}]},{"name":"Open Fund of Key Laboratory of Computing Power Network and Information Security","award":["2023ZD020"],"award-info":[{"award-number":["2023ZD020"]}]},{"name":"Natural Science Basic Research Plan in Shaanxi Province of China","award":["2023-JC-YB-524"],"award-info":[{"award-number":["2023-JC-YB-524"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,7,1]]},"DOI":"10.1109\/jiot.2025.3555646","type":"journal-article","created":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T23:47:06Z","timestamp":1743464826000},"page":"24644-24655","source":"Crossref","is-referenced-by-count":1,"title":["Efficient and Secure Federated Knowledge Transfer Under Non-IID Settings in IoT"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7333-214X","authenticated-orcid":false,"given":"Shuying","family":"Liu","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi&#x2019;an, China"}]},{"given":"Rongpeng","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Cyber Engineering, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5437-3572","authenticated-orcid":false,"given":"Yinbin","family":"Miao","sequence":"additional","affiliation":[{"name":"School of Cyber Engineering, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6725-1387","authenticated-orcid":false,"given":"Jinye","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2705-3826","authenticated-orcid":false,"given":"Tao","family":"Leng","sequence":"additional","affiliation":[{"name":"Intelligent Policing Key Laboratory of Sichuan Province, Sichuan Police College, Luzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3934-2177","authenticated-orcid":false,"given":"Zhiquan","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Cyber Security, Jinan University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9208-5336","authenticated-orcid":false,"given":"Kim-Kwang","family":"Raymond Choo","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3095077"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IOTM.004.2100182"},{"key":"ref3","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist. (AISTATS)","author":"McMahan"},{"key":"ref4","article-title":"Federated learning with non-IID data","author":"Zhao","year":"2018","journal-title":"arXiv:1806.00582"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.098"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155494"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00077"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3309858"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2787987"},{"key":"ref10","first-page":"14774","article-title":"Deep leakage from gradients","volume-title":"Proc. 33rd Conf. Neural Inf. Process. Syst.","author":"Zhu"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2022.23054"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2024.3354736"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70694-8_15"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30576-7_18"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2633600"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48910-X_16"},{"issue":"1","key":"ref18","first-page":"164","article-title":"Data augmentation scheme for federated learning with non-IID data","volume":"44","author":"Lingtao","year":"2023","journal-title":"J. Commun.\/Tongxin Xuebao"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944481"},{"key":"ref20","article-title":"Robust federated learning in a heterogeneous environment","author":"Ghosh","year":"2019","journal-title":"arXiv:1906.06629"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3365295"},{"key":"ref22","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Karimireddy"},{"key":"ref23","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","author":"Li"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref25","article-title":"Federated meta-learning with fast convergence and efficient communication","author":"Chen","year":"2018","journal-title":"arXiv:1802.07876"},{"key":"ref26","first-page":"5972","article-title":"No fear of heterogeneity: Classifier calibration for federated learning with non-IID data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Luo"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24119"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3354942"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3029472"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2977253"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00023"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.12"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2020.3004627"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.05.025"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11045559\/10946110.pdf?arnumber=10946110","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T06:11:39Z","timestamp":1750745499000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10946110\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,1]]},"references-count":34,"journal-issue":{"issue":"13"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3555646","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"type":"electronic","value":"2327-4662"},{"type":"electronic","value":"2372-2541"}],"subject":[],"published":{"date-parts":[[2025,7,1]]}}}