{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T23:12:38Z","timestamp":1776035558752,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643681849","type":"print"},{"value":"9781643681856","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T00:00:00Z","timestamp":1622073600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,27]]},"abstract":"<jats:p>Using deep learning to advance personalized healthcare requires data about patients to be collected and aggregated from disparate sources that often span institutions and geographies. Researchers regularly come face-to-face with legitimate security and privacy policies that constrain access to these data. In this work, we present a vision for privacy-preserving federated neural network architectures that permit data to remain at a custodian\u2019s institution while enabling the data to be discovered and used in neural network modeling. Using a diabetes dataset, we demonstrate that accuracy and processing efficiencies using federated deep learning architectures are equivalent to the models built on centralized datasets.<\/jats:p>","DOI":"10.3233\/shti210147","type":"book-chapter","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T12:49:55Z","timestamp":1622119795000},"source":"Crossref","is-referenced-by-count":6,"title":["Federated Deep Learning Architecture for Personalized Healthcare"],"prefix":"10.3233","author":[{"given":"Helen","family":"Chen","sequence":"first","affiliation":[{"name":"School of Public Health and Health Systems, University of Waterloo, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shubhankar","family":"Mohapatra","sequence":"additional","affiliation":[{"name":"Cheriton School of Computer Science, University of Waterloo, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Michalopoulos","sequence":"additional","affiliation":[{"name":"Cheriton School of Computer Science, University of Waterloo, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"He","sequence":"additional","affiliation":[{"name":"Cheriton School of Computer Science, University of Waterloo, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ian","family":"McKillop","sequence":"additional","affiliation":[{"name":"School of Public Health and Health Systems, University of Waterloo, Canada"},{"name":"Cheriton School of Computer Science, University of Waterloo, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Public Health and Informatics"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210147","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:11:11Z","timestamp":1635167471000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210147"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,27]]},"ISBN":["9781643681849","9781643681856"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210147","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,27]]}}}