{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T11:13:17Z","timestamp":1784373197171,"version":"3.55.0"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"MasterCard Research Impact Funds and DoD Center of Excellence in AI and Machine Learning (CoE-AIML) at Howard University with the U.S. Army Research Laboratory","award":["W911NF-20-2-0277"],"award-info":[{"award-number":["W911NF-20-2-0277"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Consumer Electron."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tce.2023.3339702","type":"journal-article","created":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T18:20:56Z","timestamp":1701800456000},"page":"2508-2516","source":"Crossref","is-referenced-by-count":78,"title":["Federated Learning Empowered Recommendation Model for Financial Consumer Services"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0775-5540","authenticated-orcid":false,"given":"Pushpita","family":"Chatterjee","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Science and Engineering, Howard University, Washington, DC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4422-3196","authenticated-orcid":false,"given":"Debashis","family":"Das","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Narula Institute of Technology, Kolkata, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3638-3464","authenticated-orcid":false,"given":"Danda B.","family":"Rawat","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science and Engineering, Howard University, Washington, DC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SP46215.2023.10179435"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoforum.2021.01.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1108\/TECHS-10-2021-0017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11010141"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/math11122674"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s42045-020-00045-8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-022-03709-z"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103061"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3226626"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1108\/07363760911001529"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-022-03536-z"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00390-3"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.47750\/pnr.2022.13.S09.059"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2021.08.028"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.iswa.2022.200064"},{"key":"ref17","article-title":"Federated machine learning for loan risk prediction.","author":"Machado","year":"2020"},{"key":"ref18","article-title":"Federated learning with FEDn for financial market surveillance","author":"Voltaire Edoh","year":"2022"},{"issue":"4","key":"ref19","first-page":"1355","article-title":"Credit risk assessment from combined bank records using federated learning","volume":"6","author":"Kawa","year":"2019","journal-title":"Int. Res. J. Eng. Technol."},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW51313.2020.00057"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-023-04570-4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.223"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2298\/CSIS190923022O"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-23551-2_2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2022.04.034"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-021-00700-6"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.3017205"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxab025"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3696609"},{"key":"ref30","first-page":"11814","article-title":"FedScale: Benchmarking model and system performance of federated learning at scale","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lai"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-021-01097-3"}],"container-title":["IEEE Transactions on Consumer Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/30\/10510045\/10342702.pdf?arnumber=10342702","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T19:05:25Z","timestamp":1714763125000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10342702\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":31,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tce.2023.3339702","relation":{},"ISSN":["0098-3063","1558-4127"],"issn-type":[{"value":"0098-3063","type":"print"},{"value":"1558-4127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}