{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T20:07:42Z","timestamp":1779739662459,"version":"3.53.1"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100013254","name":"College Students\u2019 Innovation and Entrepreneurship Training Program","doi-asserted-by":"publisher","award":["S202510722063"],"award-info":[{"award-number":["S202510722063"]}],"id":[{"id":"10.13039\/501100013254","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Basic Research Plan in Shaanxi Province of China","award":["2023-JC-YB-524"],"award-info":[{"award-number":["2023-JC-YB-524"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372493"],"award-info":[{"award-number":["62372493"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Cloud Technology Endowed Professorship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,6,1]]},"DOI":"10.1109\/jiot.2026.3672451","type":"journal-article","created":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T19:54:57Z","timestamp":1773172497000},"page":"24261-24272","source":"Crossref","is-referenced-by-count":0,"title":["Robustness-Enhanced and Explainable Federated Learning in Internet of Things"],"prefix":"10.1109","volume":"13","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"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7770-1370","authenticated-orcid":false,"given":"Jiameng","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Cyber Engineering, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2658-9188","authenticated-orcid":false,"given":"Ru","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Jinan University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8088-4624","authenticated-orcid":false,"given":"Yifan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hangzhou Institute of Technology, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"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"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"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"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"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"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfei","family":"Zou","sequence":"additional","affiliation":[{"name":"Department of Computer, Xian Yang Normal University, Xianyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheben","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer, Xian Yang Normal University, Xianyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer, Xian Yang Normal University, Xianyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9208-5336","authenticated-orcid":false,"given":"Kim-Kwang Raymond","family":"Choo","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Cybersecurity, University of Texas at San Antonio, San Antonio, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3501813"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2020.122877"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3169347"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116109"},{"key":"ref6","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","volume":"54","author":"McMahan"},{"key":"ref7","first-page":"8632","article-title":"A little is enough: Circumventing defenses for distributed learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Baruch"},{"key":"ref8","first-page":"2938","article-title":"How to backdoor federated learning","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Bagdasaryan"},{"key":"ref9","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yin"},{"key":"ref10","first-page":"118","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Blanchard"},{"key":"ref11","first-page":"3518","article-title":"The hidden vulnerability of distributed learning in byzantium","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Mhamdi"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3418862"},{"key":"ref13","article-title":"Explainable artificial intelligence (XAI): From inherent explainability to large language models","author":"Mumuni","year":"2025","journal-title":"arXiv:2501.09967"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110424"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref16","first-page":"4768","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lundberg"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102598"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2022.102474"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5220\/0010485600002932"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3678181"},{"key":"ref21","first-page":"3521","article-title":"The hidden vulnerability of distributed learning in Byzantium","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Guerraoui"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2023.3304788"},{"key":"ref23","article-title":"Mitigating Sybils in federated learning poisoning","author":"Fung","year":"2018","journal-title":"arXiv:1808.04866"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/670"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539231"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/106"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24434"},{"key":"ref28","first-page":"840","article-title":"Sageflow: Robust federated learning against both stragglers and adversaries","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Park"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-44067-0_8"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref33","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref36","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. 3rd Mach. Learn. Syst. Conf.","author":"Li"},{"key":"ref37","article-title":"Measuring the effects of non-identical data distribution for federated visual classification","author":"Hsu","year":"2019","journal-title":"arXiv:1909.06335"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01057"},{"key":"ref39","article-title":"Personalized federated learning with feature alignment and classifier collaboration","author":"Xu","year":"2023","journal-title":"arXiv:2306.11867"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3533090"},{"key":"ref41","first-page":"1595","article-title":"PrivateFL: Accurate, differentially private federated learning via personalized data transformation","volume-title":"Proc. 32nd USENIX Secur. Symp. (USENIX Secur.)","author":"Yang"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11534158\/11428175.pdf?arnumber=11428175","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T19:56:05Z","timestamp":1779738965000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11428175\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,1]]},"references-count":41,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2026.3672451","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,1]]}}}