{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T19:14:26Z","timestamp":1782846866760,"version":"3.54.5"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2019YFB1706003"],"award-info":[{"award-number":["2019YFB1706003"]}]},{"name":"Major Key Project of PCL","award":["PCL2022A03"],"award-info":[{"award-number":["PCL2022A03"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61902082"],"award-info":[{"award-number":["61902082"]}],"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":["U20B2046"],"award-info":[{"award-number":["U20B2046"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangzhou Higher Education Innovation Group","award":["202032854"],"award-info":[{"award-number":["202032854"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1109\/jbhi.2022.3204455","type":"journal-article","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T15:54:59Z","timestamp":1662393299000},"page":"756-767","source":"Crossref","is-referenced-by-count":27,"title":["E2EGI: End-to-End Gradient Inversion in Federated Learning"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0024-0165","authenticated-orcid":false,"given":"Zhaohua","family":"Li","sequence":"first","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3610-9185","authenticated-orcid":false,"given":"Le","family":"Wang","sequence":"additional","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6351-9083","authenticated-orcid":false,"given":"Guangyao","family":"Chen","sequence":"additional","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7125-8584","authenticated-orcid":false,"given":"Zhiqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1909-9373","authenticated-orcid":false,"given":"Muhammad","family":"Shafiq","sequence":"additional","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7546-852X","authenticated-orcid":false,"given":"Zhaoquan","family":"Gu","sequence":"additional","affiliation":[{"name":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3002255"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.02.017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.05.054"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.2996738"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-020-00551-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2022.3151643"},{"key":"ref7","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Stat.","author":"McMahan","year":"2017"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60548-3_18"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11723-8_9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759317"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3040015"},{"key":"ref12","article-title":"Triaging COVID-19 patients: 20 hospitals in 20 days build ai model that predicts oxygen needs","year":"2020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_2"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813687"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tnse.2022.3153519"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2021.3095707"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01607"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC49032.2021.9369498"},{"key":"ref20","article-title":"Learning multiple layers of features from tiny images","volume-title":"Handbook of Systemic Autoimmune Diseases","volume":"1","author":"Krizhevsky","year":"2009"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_36"},{"key":"ref22","first-page":"17","article-title":"Privacy in pharmacogenetics: An end-to-end case study of personalized warfarin dosing","volume-title":"Proc. 23rd {USENIX} Secur. Symp.","author":"Fredrikson","year":"2014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813677"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2016.32"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2018.00027"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00033"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2787987"},{"key":"ref28","article-title":"R-GAP: Recursive gradient attack on privacy","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhu","year":"2021"},{"key":"ref29","article-title":"iDLG: Improved deep leakage from gradients","author":"Zhao","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737416"},{"key":"ref31","first-page":"16937","article-title":"Inverting gradients - How easy is it to break privacy in federated learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst., 33rd: Annu. Conf. Neural Inf. Process. Syst.","author":"Geiping","year":"2020"},{"key":"ref32","article-title":"A survey of image gradient inversion against federated learning","author":"Li","year":"2022"},{"key":"ref33","first-page":"29898","article-title":"Gradient inversion with generative image prior","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Jeon","year":"2021"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299155"},{"key":"ref35","first-page":"1437","article-title":"BOHB: Robust and efficient hyperparameter optimization at scale","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Falkner","year":"2018"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref37","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref38","article-title":"Tune: Scalable hyperparameter tuning"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.2118\/18761-MS"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/10036335\/09878027.pdf?arnumber=9878027","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T21:05:40Z","timestamp":1770757540000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9878027\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":40,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2022.3204455","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2]]}}}