{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T10:23:08Z","timestamp":1782210188054,"version":"3.54.5"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"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":[[2022,7,11]]},"DOI":"10.1109\/embc48229.2022.9871319","type":"proceedings-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:02:05Z","timestamp":1662667325000},"page":"1045-1048","source":"Crossref","is-referenced-by-count":18,"title":["A Federated Learning Paradigm for Heart Sound Classification"],"prefix":"10.1109","author":[{"given":"Wanyong","family":"Qiu","sequence":"first","affiliation":[{"name":"Laboratory of Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology,Beijing,China,100081"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Qian","sequence":"additional","affiliation":[{"name":"Laboratory of Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology,Beijing,China,100081"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhihua","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechatronic Engineering, China University of Mining and Technology,Xuzhou,Jiangsu,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Chang","sequence":"additional","affiliation":[{"name":"Imperial College, London,GLAM-the Group on Language, Audio, & Music,London,UK,SW7 2AZ"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhihao","family":"Bao","sequence":"additional","affiliation":[{"name":"Laboratory of Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology,Beijing,China,100081"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Hu","sequence":"additional","affiliation":[{"name":"Laboratory of Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology,Beijing,China,100081"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bjorn W.","family":"Schuller","sequence":"additional","affiliation":[{"name":"Imperial College, London,GLAM-the Group on Language, Audio, & Music,London,UK,SW7 2AZ"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoshiharu","family":"Yamamoto","sequence":"additional","affiliation":[{"name":"Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo,Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Federated learning of electronic health records im-proves mortality prediction in patients hospitalized with covid-19","author":"vaid","year":"2020","journal-title":"medRxiv"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107763"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2016.179-154"},{"key":"ref13","first-page":"585","article-title":"Normal\/abnormal heart sound recordings classi-fication using convolutional neural network","author":"nilanon","year":"0","journal-title":"2016 Computing in Cardiology Conference (CinC)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2016.156-268"},{"key":"ref15","article-title":"A PyTorch Implementation of Federated Learning","author":"ji","year":"2018","journal-title":"Zenodo"},{"key":"ref16","article-title":"Federated learning with non-iid data","author":"zhao","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2955281"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CISS48834.2020.1570617414"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-69250-1"},{"key":"ref5","article-title":"Privacy-first health research with federated learning","author":"hernandez","year":"2020","journal-title":"medRxiv"},{"key":"ref8","article-title":"Robust aggregation for adaptive privacy preserving federated learning in healthcare","author":"grama","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref7","first-page":"133","article-title":"Privacy-preserving federated brain tumour segmen-tation","author":"li","year":"0","journal-title":"Int Work Mach Learn Med Imag"},{"key":"ref2","first-page":"1273","article-title":"Communication-efficient learning of deep net-works from decentralized data","author":"mcmahan","year":"2017","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2018.01.007"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759317"}],"event":{"name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","location":"Glasgow, Scotland, United Kingdom","start":{"date-parts":[[2022,7,11]]},"end":{"date-parts":[[2022,7,15]]}},"container-title":["2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9870821\/9870822\/09871319.pdf?arnumber=9871319","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T20:59:56Z","timestamp":1664225996000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9871319\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,11]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/embc48229.2022.9871319","relation":{},"subject":[],"published":{"date-parts":[[2022,7,11]]}}}