{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T15:39:52Z","timestamp":1777995592598,"version":"3.51.4"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"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":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9746827","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"6272-6276","source":"Crossref","is-referenced-by-count":19,"title":["Privacy Sensitive Speech Analysis Using Federated Learning to Assess Depression"],"prefix":"10.1109","author":[{"given":"Suhas","family":"Bn","sequence":"first","affiliation":[{"name":"Pennsylvania State University,College of Information Sciences & Technology,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saeed","family":"Abdullah","sequence":"additional","affiliation":[{"name":"Pennsylvania State University,College of Information Sciences & Technology,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10772-018-09572-8"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2988257.2988267"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-2522"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1148\/radiol.2019190613","volume":"291","author":"langlotz","year":"2019","journal-title":"Radiology"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2018.01.007"},{"key":"ref15","first-page":"3123","article-title":"The distress analysis interview corpus of human and computer interviews","author":"gratch","year":"2014","journal-title":"LREC"},{"key":"ref16","article-title":"Patient health questionnaire (phq-8)","author":"spitzer","year":"1991"},{"key":"ref17","article-title":"Speech task based automatic classification of ALS and Parkinson’s Disease and their severity using log mel spectrograms","author":"suhas","year":"2020","journal-title":"2020 International Conference on Signal Processing and Communications"},{"key":"ref18","article-title":"How does learning rate de-cay help modern neural networks?","author":"you","year":"2019"},{"key":"ref19","article-title":"On the convergence of fedavg on non-iid data","author":"li","year":"2020","journal-title":"International Conference on Learning Representations"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1889681.1889688"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2015.03.004"},{"key":"ref6","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocv200"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.04.003"},{"key":"ref7","article-title":"Federated learning with matched averaging","author":"wang","year":"2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1192\/bjp.bp.116.188078"},{"key":"ref1","year":"2020","journal-title":"Depression"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2017.8217802"},{"key":"ref20","article-title":"Communication-efficient on-device machine learning: Federated distillation and augmentation under non-iid private data","author":"jeong","year":"2018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2018.8698609"},{"key":"ref24","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref23","article-title":"Privacy-preserving assessment of depression using speech signal processing","author":"bn","year":"2021","journal-title":"M S thesis"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09746827.pdf?arnumber=9746827","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T20:07:14Z","timestamp":1660594034000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9746827\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9746827","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}