{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T16:10:16Z","timestamp":1778083816517,"version":"3.51.4"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&#x0026;D Program of China","award":["2022YFB4501500"],"award-info":[{"award-number":["2022YFB4501500"]}]},{"name":"National Key R&#x0026;D Program of China","award":["2022YFB4501504"],"award-info":[{"award-number":["2022YFB4501504"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Dependable and Secure Comput."],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1109\/tdsc.2025.3570626","type":"journal-article","created":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T13:35:50Z","timestamp":1747316150000},"page":"5617-5631","source":"Crossref","is-referenced-by-count":2,"title":["VFGCN: A Vertical Federated Learning Framework With Privacy Preserving for Graph Convolutional Network"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5730-5933","authenticated-orcid":false,"given":"Gang","family":"Wang","sequence":"first","affiliation":[{"name":"Zhejiang Lab, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6085-7300","authenticated-orcid":false,"given":"Qingming","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4238-3295","authenticated-orcid":false,"given":"Ximeng","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing Changan Automobile Co. Ltd., Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3481-1832","authenticated-orcid":false,"given":"Xiaoran","family":"Yan","sequence":"additional","affiliation":[{"name":"Zhejiang Lab, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8034-9170","authenticated-orcid":false,"given":"Qingkuan","family":"Dong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8471-4219","authenticated-orcid":false,"given":"Huiwen","family":"Wu","sequence":"additional","affiliation":[{"name":"Zhejiang Lab, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2698-3319","authenticated-orcid":false,"given":"Xiangjie","family":"Kong","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0198-880X","authenticated-orcid":false,"given":"Li","family":"Zhou","sequence":"additional","affiliation":[{"name":"Zhejiang Lab, Hangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2024.3369017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-024-1510-8"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-022-01664-x"},{"key":"ref6","article-title":"FedGNN: Federated graph neural network for privacy-preserving recommendation","author":"Wu","year":"2021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3198283"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3360429"},{"key":"ref9","article-title":"Vertical federated learning: Challenges, methodologies and experiments","author":"Wei","year":"2022"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119976"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833806"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3161016"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.43"},{"key":"ref14","first-page":"2669","article-title":"Stealing links from graph neural networks","volume-title":"Proc. 30th USENIX Secur. Symp.","author":"He"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3575637.3575644"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3329971"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-021-01074-w"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-023-01472-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3501808"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/272"},{"key":"ref21","article-title":"FedSGC: Federated simple graph convolution for node classification","volume-title":"Proc. Int. Joint Conf. Artif. Intell. Workshops","author":"Cheung"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-023-01584-9"},{"key":"ref23","article-title":"A vertical federated learning framework for graph convolutional network","author":"Ni","year":"2021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2022.3205705"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICC51166.2024.10622439"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3125565"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9005983"},{"key":"ref28","first-page":"1263","article-title":"Neural message passing for quantum chemistry","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gilmer"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2573770"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2016.2536601"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/362686.362692"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_25"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_2"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3215326"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3055283"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/NaNA.2019.00041"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2024.3378349"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2024.3349990"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa1006"}],"container-title":["IEEE Transactions on Dependable and Secure Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8858\/11150357\/11004628.pdf?arnumber=11004628","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T18:53:16Z","timestamp":1757011996000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11004628\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":42,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tdsc.2025.3570626","relation":{},"ISSN":["1545-5971","1941-0018","2160-9209"],"issn-type":[{"value":"1545-5971","type":"print"},{"value":"1941-0018","type":"electronic"},{"value":"2160-9209","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9]]}}}