{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T20:31:27Z","timestamp":1793478687969,"version":"4.5.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62132017"],"award-info":[{"award-number":["62132017"]}],"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":["62277013"],"award-info":[{"award-number":["62277013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["226-2022-00235"],"award-info":[{"award-number":["226-2022-00235"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2023,6,1]]},"DOI":"10.1109\/tvcg.2023.3261938","type":"journal-article","created":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T18:47:48Z","timestamp":1680029268000},"page":"2901-2913","source":"Crossref","is-referenced-by-count":3,"title":["Federated Visualization: A Privacy-Preserving Strategy for Aggregated Visual Query"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8365-4741","authenticated-orcid":false,"given":"Wei","family":"Chen","sequence":"first","affiliation":[{"name":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0743-7558","authenticated-orcid":false,"given":"Yating","family":"Wei","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyong","family":"Wang","sequence":"additional","affiliation":[{"name":"Tencent, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuyue","family":"Zhou","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingru","family":"Lin","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2968-7830","authenticated-orcid":false,"given":"Zhiguang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Hangzhou Dianzi University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/B978-155860869-6\/50021-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-016-1663-1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217302"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488502001648"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2011.163"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2865021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.14778\/2350229.2350255"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2007.367856"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3002151.3002153"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/PST.2013.6596033"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref45","author":"ramsundar","year":"2018","journal-title":"TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning"},{"key":"ref48","article-title":"Federated learning with Non-IID data","author":"zhao","year":"2018"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934800"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2022.108906"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i08.7021"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref43","first-page":"310","article-title":"HetVis: A visual analysis approach for identifying data heterogeneity in horizontal federated learning","volume":"29","author":"wang","year":"2023","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1179\/000870410X12658023467367"},{"key":"ref8","article-title":"Opportunities and challenges for privacy-preserving visualization of electronic health record data","author":"dasgupta","year":"2014","journal-title":"Proc IEEE VIS Workshop Vis Electron Health Rec"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2004.00754.x"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2745139"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2875021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtrangeo.2015.09.001"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864503"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2758362"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.neunet.2021.11.018","article-title":"A hybridization of distributed policy and heuristic augmentation for improving federated learning approach","volume":"146","author":"po?ap","year":"2022","journal-title":"Neural Netw"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2019.103291"},{"key":"ref34","article-title":"Practical secure aggregation for federated learning on user-held data","author":"bonawitz","year":"2016","journal-title":"Proc NIPS Workshop Private Multi-Party Mach Learn"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102298"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0230706"},{"key":"ref31","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"kone?n?","year":"2016"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/960"},{"key":"ref33","article-title":"Differentially private federated learning: A client level perspective","author":"geyer","year":"2017"},{"key":"ref32","article-title":"Learning differentially private recurrent language models","author":"mcmahan","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/372"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00365"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2022.115852"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/Blockchain55522.2022.00020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LDAV.2014.7013198"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141926"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LDAV48142.2019.8944358"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LDAV.2016.7874309"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13535"},{"key":"ref22","article-title":"Federated visualization: A privacy-preserving strategy for decentralized visualization","author":"chen","year":"2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/VizSec48167.2019.9161608"},{"key":"ref28","article-title":"Federated learning: Strategies for improving communication efficiency","author":"kone?n?","year":"2016","journal-title":"Proc NIPS Workshop Private Multi-Party Mach Learn"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LDAV.2017.8231853"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/10115225\/10083324.pdf?arnumber=10083324","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,22]],"date-time":"2023-05-22T17:49:54Z","timestamp":1684777794000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10083324\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,1]]},"references-count":49,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2023.3261938","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,1]]}}}