{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:17:18Z","timestamp":1772907438138,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tbdata.2022.3227326","type":"journal-article","created":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T20:40:35Z","timestamp":1670445635000},"page":"1001-1015","source":"Crossref","is-referenced-by-count":20,"title":["FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8495-3631","authenticated-orcid":false,"given":"Rui","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Intelligent Systems, Delft University of Technology, Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6428-4212","authenticated-orcid":false,"given":"O\u011fuzhan","family":"Ersoy","sequence":"additional","affiliation":[{"name":"Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands"}]},{"given":"Hangyu","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1100-0631","authenticated-orcid":false,"given":"Yaochu","family":"Jin","sequence":"additional","affiliation":[{"name":"Faculty of Technology, Bielefeld University, Bielefeld, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0262-7678","authenticated-orcid":false,"given":"Kaitai","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Intelligent Systems, Delft University of Technology, Delft, The Netherlands"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref2","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813687"},{"key":"ref4","article-title":"Gradient-leaks: Understanding and controlling deanonymization in federated learning","author":"Orekondy"},{"key":"ref5","first-page":"16 937","article-title":"Inverting gradients - how easy is it to break privacy in federated learning?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Geiping"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/DCC.2019.00101"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2787987"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3338501.3357370"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3338501.3357371"},{"key":"ref10","first-page":"493","article-title":"BatchCrypt: Efficient homomorphic encryption for cross-silo federated learning","volume-title":"Proc. USENIX Annu. Tech. Conf. USENIX Assoc.","author":"Zhang"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.08.062"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407811"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2021.3082561"},{"key":"ref14","article-title":"Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption","author":"Hardy","year":"2017"},{"key":"ref15","article-title":"Entity resolution and federated learning get a federated resolution","author":"Nock","year":"2018"},{"key":"ref16","article-title":"Asymmetrically vertical federated learning","author":"Liu","year":"2020"},{"key":"ref17","article-title":"Parallel distributed logistic regression for vertical federated learning without third-party coordinator","author":"Yang","year":"2019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref19","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref21","first-page":"639","article-title":"Secure multi-party computation","volume":"78","author":"Goldreich","year":"1998","journal-title":"Manuscript Preliminary Version"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/tdsc.2023.3276365"},{"issue":"1","key":"ref25","first-page":"1235","article-title":"MLlib: Machine learning in apache spark","volume":"17","author":"Meng","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0054851"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1976.1055638"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24178-9_9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1137\/S0097539793244708"},{"key":"ref30","article-title":"standard: Permutation-based hash and extendable-output functions","volume":"3","author":"Sha","year":"2015","journal-title":"Federal Inform. Process. Stand. Pub."},{"key":"ref31","article-title":"Sha-3 proposal blake","volume":"92","author":"Aumasson","year":"2008","journal-title":"Submission NIST"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.17487\/rfc5869"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/springerreference_432"},{"key":"ref34","volume-title":"Hacking and Securing iOS Applications: Stealing Data, Hijacking Software, and How to Prevent It","author":"Zdziarski","year":"2012"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/SFFCS.1999.814584"},{"key":"ref36","article-title":"ALGORAND: The efficient and democratic ledger","volume":"abs\/1607.01341","author":"Micali","year":"2016","journal-title":"CoRR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/11761679_29"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134065"},{"key":"ref41","first-page":"797","article-title":"Faster private set intersection based on $\\lbrace${OT$\\rbrace$} extension","volume-title":"Proc. 23rd USENIX Secur. Symp.","author":"Pinkas"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32009-5_38"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48910-X_16"},{"key":"ref44","first-page":"2879","article-title":"Extremal mechanisms for local differential privacy","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kairouz"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICT.2015.7124683"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14849-1"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-21936-3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.6028\/nist.fips.202"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.12.020"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2014.03.001"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/83.136597"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/10750532\/09973381.pdf?arnumber=9973381","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T19:28:28Z","timestamp":1732735708000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9973381\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":52,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2022.3227326","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}