{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T14:34:18Z","timestamp":1785422058062,"version":"3.56.0"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","doi-asserted-by":"publisher","award":["GA No. 200020182009\/1"],"award-info":[{"award-number":["GA No. 200020182009\/1"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"name":"MyPreHealth Cyber-Human Project","award":["16073"],"award-info":[{"award-number":["16073"]}]},{"name":"PEDESITE Swiss NSF Sinergia Project","award":["CRSII5_193813\/1"],"award-info":[{"award-number":["CRSII5_193813\/1"]}]},{"name":"H2020 DeepHealth Project","award":["GA No. 825111"],"award-info":[{"award-number":["GA No. 825111"]}]},{"name":"RESoRT Project","award":["GA No. REG-19-019"],"award-info":[{"award-number":["GA No. REG-19-019"]}]},{"DOI":"10.13039\/501100011318","name":"Fondation Botnar","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011318","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004063","name":"Knut och Alice Wallenbergs Stiftelse","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004063","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1109\/jbhi.2021.3096127","type":"journal-article","created":{"date-parts":[[2021,7,9]],"date-time":"2021-07-09T19:23:41Z","timestamp":1625858621000},"page":"898-909","source":"Crossref","is-referenced-by-count":107,"title":["Personalized Real-Time Federated Learning for Epileptic Seizure Detection"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7440-6340","authenticated-orcid":false,"given":"Saleh","family":"Baghersalimi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2175-7382","authenticated-orcid":false,"given":"Tomas","family":"Teijeiro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9536-4947","authenticated-orcid":false,"given":"David","family":"Atienza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1673-4733","authenticated-orcid":false,"given":"Amir","family":"Aminifar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Fact sheets on epilepsy"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/epi.12666"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.seizure.2016.07.012"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.yebeh.2016.01.003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1111\/epi.14054"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.21552\/edpl\/2016\/3\/4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-53817-4_3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s41666-020-00082-4"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3124599"},{"key":"ref12","article-title":"Jetson Nano Developer Kit"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.siny.2015.01.005"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2809798"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2010.08.030"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2810942"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2015.01.002"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2829877"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.10.070"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2016.09.008"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1155\/2007\/80510"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2017939"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2019.2957087"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2019.2929053"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci9050115"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2871678"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2984128"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1111\/j.1528-1157.2000.tb00207.x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/S0920-1211(02)00215-2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.37.10.1624"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(86)91328-0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1212\/01.WNL.0000129830.72973.56"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.seizure.2006.03.005"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2010.05.010"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s17102338"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-019-01322-7"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2019.2951222"},{"issue":"1","key":"ref38","first-page":"1","volume-title":"ACM Comput. Surv.","volume":"53","author":"Mayer","year":"2020"},{"key":"ref39","article-title":"Split learning for health: Distributed deep learning without sharing raw patient data","volume-title":"CoRR","author":"Vepakomma","year":"2018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.2988525"},{"key":"ref41","first-page":"7252","article-title":"Bayesian nonparametric federated learning of neural networks","volume-title":"Proc. Int. Conf. Mach. Learn. PMLR","author":"Yurochkin","year":"2019"},{"key":"ref42","first-page":"685","article-title":"Deep learning with elastic averaging SGD","volume-title":"Proc. 28th Int. Conf. Neural Informat. Process. Syst.","volume":"1","author":"Zhang"},{"key":"ref43","article-title":"Federated learning of deep networks using model averaging","author":"McMahan","year":"2016"},{"key":"ref44","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist","author":"McMahan","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2015.7447163"},{"key":"ref47","article-title":"Shift-invariant pattern recognition neural network and its optical architecture","volume-title":"Proc. Annu. Conf. Jpn. Soc. Appl. Phys.","author":"Zhang","year":"1988"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2156795"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2019.2951222"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2010.08.011"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/5666.5673"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/S0034-4257(97)00083-7"},{"key":"ref56","article-title":"Nvidia tegrastats utility"},{"key":"ref57","first-page":"265","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","volume-title":"Design Implementation","author":"Abadi"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9703443\/09479691.pdf?arnumber=9479691","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:12Z","timestamp":1705017612000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9479691\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2]]},"references-count":57,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2021.3096127","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2]]}}}