{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:13:08Z","timestamp":1787011988932,"version":"3.56.0"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"ICSCoE Core Human Resources Development Program"},{"name":"JSPS KAKENHI","award":["JP24K02916"],"award-info":[{"award-number":["JP24K02916"]}]},{"name":"JSPS KAKENHI","award":["JP24K03045"],"award-info":[{"award-number":["JP24K03045"]}]},{"name":"MEXT Scholarship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3464333","type":"journal-article","created":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T13:28:57Z","timestamp":1726752537000},"page":"136962-136978","source":"Crossref","is-referenced-by-count":17,"title":["FedFusion: Adaptive Model Fusion for Addressing Feature Discrepancies in Federated Credit Card Fraud Detection"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4044-5130","authenticated-orcid":false,"given":"Nahid","family":"Ferdous Aurna","sequence":"first","affiliation":[{"name":"Laboratory for Cyber Resilience, Nara Institute of Science and Technology, Ikoma, Nara, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5968-0704","authenticated-orcid":false,"given":"Md","family":"Delwar Hossain","sequence":"additional","affiliation":[{"name":"Laboratory for Cyber Resilience, Nara Institute of Science and Technology, Ikoma, Nara, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9300-1576","authenticated-orcid":false,"given":"Latifur","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Big Data Analytics and Management Laboratory, The University of Texas at Dallas, Richardson, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuzo","family":"Taenaka","sequence":"additional","affiliation":[{"name":"Laboratory for Cyber Resilience, Nara Institute of Science and Technology, Ikoma, Nara, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youki","family":"Kadobayashi","sequence":"additional","affiliation":[{"name":"Laboratory for Cyber Resilience, Nara Institute of Science and Technology, Ikoma, Nara, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Credit Card Fraud Statistics. No Matter Who Commits the Fraud, Everyone is a Victim","year":"2024"},{"issue":"5","key":"ref2","first-page":"402","article-title":"A comparative analysis of various credit card fraud detection techniques","volume":"7","author":"Jain","year":"2019","journal-title":"Int. J. Recent Technol. Eng."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.60084\/ijma.v1i1.78"},{"key":"ref4","first-page":"398","article-title":"Privacy preservation using federated learning for credit card transactions","volume-title":"Proc. Int. Conf. Intell. Syst. Commun., IoT Secur. (ICISCoIS)","author":"Rathika"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3184309"},{"key":"ref6","first-page":"26311","article-title":"Federated learning with label distribution skew via logits calibration","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","volume":"162","author":"Zhang"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3625558"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.05.003"},{"key":"ref9","first-page":"60397","article-title":"FedFed: Feature distillation against data heterogeneity in federated learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Yang"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02478"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3166891"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CSR57506.2023.10224978"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.01.037"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119562"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICICS49469.2020.239524"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-33743-7_48"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/INFOTEH.2019.8717766"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11040662"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-022-00573-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-023-00684-w"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.05.042"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3262020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3148298"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/642"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.54623\/fue.fcij.7.1.2"},{"key":"ref26","article-title":"The tradeoff between privacy and accuracy in anomaly detection using federated XGBoost","author":"Yang","year":"2019","journal-title":"arXiv:1907.07157"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-23551-2_2"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3394528"},{"key":"ref29","volume-title":"Credit Card Fraud Detection","year":"2023"},{"key":"ref30","volume-title":"Credit Card Fraud","author":"Narayanan","year":"2023"},{"key":"ref31","volume-title":"Credit Card Transactions","author":"Altman","year":"2023"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3490354.3494378"},{"key":"ref33","first-page":"1","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lundberg"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref35","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","volume":"54","author":"McMahan"},{"key":"ref36","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Karimireddy"},{"issue":"11","key":"ref37","first-page":"1","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref38","volume-title":"Online Credit Card Transactions"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.54254\/2755-2721\/4\/2023333"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.32996\/jcsts.2024.6.2.1"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2022.0130350"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.gltp.2021.01.006"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-023-09410-2"},{"key":"ref44","first-page":"33563","article-title":"Turning the tables: Biased, imbalanced, dynamic tabular datasets for ml evaluation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Jesus"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10684281.pdf?arnumber=10684281","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T10:17:03Z","timestamp":1728555423000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10684281\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3464333","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}