{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T15:24:02Z","timestamp":1771514642758,"version":"3.50.1"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"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":[],"published-print":{"date-parts":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10825188","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"8070-8077","source":"Crossref","is-referenced-by-count":6,"title":["Federated Kolmogorov-Arnold Networks for Health Data Analysis: A Study Using ECG Signal"],"prefix":"10.1109","author":[{"given":"Sileshi Nibret","family":"Zeleke","sequence":"first","affiliation":[{"name":"University of Bari,Department of Computer Science,Bari,Italy"}]},{"given":"Mario","family":"Bochicchio","sequence":"additional","affiliation":[{"name":"University of Bari,Department of Computer Science,Bari,Italy"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Federated learning in healthcare: Model misconducts, security, challenges, applications, and future research directions\u2014A systematic review","author":"Ali","year":"2024"},{"key":"ref2","article-title":"KAN: Kolmogorov-Arnold Networks","author":"Liu","year":"2024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.01.026"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.2139\/ssrn.4825654","article-title":"Tkan: Temporal Kolmogorov-Arnold networks","author":"Genet","year":"2024"},{"key":"ref5","article-title":"Deepokan: Deep operator network based on Kolmogorov Arnold networks for mechanics problems","author":"Abueidda","year":"2024"},{"key":"ref6","article-title":"Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing","author":"Minjong","year":"2024"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref8","article-title":"Kolmogorov-Arnold networks (kans) for time series analysis","author":"Vaca-Rubio","year":"2024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1161\/01.CTR.101.23.e215"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106211"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3296542"},{"key":"ref12","article-title":"Flower: A Friendly Federated Learning Research Framework","author":"Beutel","year":"2022"},{"key":"ref13","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS)","author":"McMahan"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.107984"},{"key":"ref15","article-title":"Heart Disease","author":"Andras","year":"1988","journal-title":"UCI Machine Learning Repository"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2019.103291"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-49361-4_3","article-title":"Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals","author":"Gutierrez","year":"2024"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3347610"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3501296"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3357514"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0302539"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-46084-5_77"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3467065"},{"issue":"100488","key":"ref24","article-title":"Fed-CL: An atrial fibrillation prediction system using ECG signals employing federated learning mechanism","volume":"27","author":"Arshad","year":"2024","journal-title":"Scientific Reports"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICBDS58040.2023.10346556"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-51344-9"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eij.2024.100488"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","location":"Washington, DC, USA","start":{"date-parts":[[2024,12,15]]},"end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10825188.pdf?arnumber=10825188","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T08:22:54Z","timestamp":1737102174000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10825188\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10825188","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}