{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T20:22:42Z","timestamp":1782418962405,"version":"3.54.5"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFF1201200"],"award-info":[{"award-number":["2021YFF1201200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62276277"],"award-info":[{"award-number":["62276277"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62272174"],"award-info":[{"award-number":["62272174"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61702195"],"award-info":[{"award-number":["61702195"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61751202"],"award-info":[{"award-number":["61751202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["U1813203"],"award-info":[{"award-number":["U1813203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["U1801262"],"award-info":[{"award-number":["U1801262"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61751205"],"award-info":[{"award-number":["61751205"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Program of Guangzhou","award":["201902010081"],"award-info":[{"award-number":["201902010081"]}]},{"name":"Science and Technology Major Project of Guangzhou","award":["202007030006"],"award-info":[{"award-number":["202007030006"]}]},{"name":"Program for Guangdong Introducing Innovative and Entrepreneurial Teams","award":["2019ZT08X214"],"award-info":[{"award-number":["2019ZT08X214"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1109\/tcyb.2023.3235496","type":"journal-article","created":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T19:10:05Z","timestamp":1674587405000},"page":"6636-6648","source":"Crossref","is-referenced-by-count":32,"title":["Multiparty Secure Broad Learning System for Privacy Preserving"],"prefix":"10.1109","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7394-2117","authenticated-orcid":false,"given":"Xiao-Kai","family":"Cao","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering and the Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5972-559X","authenticated-orcid":false,"given":"Chang-Dong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering and the Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3883-2024","authenticated-orcid":false,"given":"Jian-Huang","family":"Lai","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering and the Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7666-8985","authenticated-orcid":false,"given":"Qiong","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5451-7230","authenticated-orcid":false,"given":"C. L. Philip","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","first-page":"1","article-title":"Federated optimization in heterogeneous networks","author":"li","year":"2020","journal-title":"Proc Mach Learn Syst"},{"key":"ref35","article-title":"CAFE: Catastrophic data leakage in vertical federated learning","author":"jin","year":"2021","journal-title":"arXiv 2110 15122"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.1982.38"},{"key":"ref34","first-page":"1","article-title":"Inverting gradients—How easy is it to break privacy in federated learning?","author":"geiping","year":"2020","journal-title":"Proc Annu Conf Neural Inf Process Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2728644"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2017.2679189"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3090260"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2015.23241"},{"key":"ref31","article-title":"FedGNN: Federated graph neural network for privacy-preserving recommendation","author":"wu","year":"2021","journal-title":"arXiv 2102 04925"},{"key":"ref30","article-title":"FedKD: Communication efficient federated learning via knowledge distillation","author":"wu","year":"2021","journal-title":"arXiv 2108 13323"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2934823"},{"key":"ref33","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"Proc 20th Int Conf Artif Intell Stat"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2998984"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.223"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/2047-2501-2-3"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2553401"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315150"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3005354"},{"key":"ref38","first-page":"1","article-title":"Secure federated feature selection for cross-feature federated learning","author":"pan","year":"2020","journal-title":"Proc NeurIPS Workshop SpicyFL"},{"key":"ref19","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"kone?cn\u00fd","year":"2016","journal-title":"arXiv 1610 02527"},{"key":"ref18","first-page":"169","article-title":"On data banks and privacy homomorphisms","volume":"4","author":"rivest","year":"1978","journal-title":"Found Secure Comput"},{"key":"ref24","article-title":"A review of homomorphic encryption and software tools for encrypted statistical machine learning","author":"aslett","year":"2015","journal-title":"arXiv 1508-06574"},{"key":"ref23","article-title":"A fully homomorphic encryption scheme","author":"gentry","year":"2009"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93387-0_13"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403321"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref20","article-title":"Federated learning: Strategies for improving communication efficiency","author":"kone?cn\u00fd","year":"2016","journal-title":"arXiv 1610 05492"},{"key":"ref41","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"xiao","year":"2017","journal-title":"ArXiv 1708 07747"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2005.1556171"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3264-1"},{"key":"ref21","article-title":"Federated learning of deep networks using model averaging","author":"mcmahan","year":"2016","journal-title":"arXiv 1602 05629"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.23919\/JCC.2020.09.009"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref29","article-title":"Federated learning: Challenges, methods, and future directions","author":"li","year":"2019","journal-title":"arXiv 1908 07873"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2863020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2857815"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2978500"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2716952"},{"key":"ref3","first-page":"289","article-title":"Privacy-preserving logistic regression","author":"chaudhuri","year":"2008","journal-title":"Proc 22nd Annu Conf Neural Inf Process Syst"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3015749"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3061094"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/10252107\/10025360.pdf?arnumber=10025360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T18:01:29Z","timestamp":1696269689000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10025360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":44,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2023.3235496","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10]]}}}