{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T15:49:58Z","timestamp":1784303398411,"version":"3.55.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"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":[[2021,11,1]]},"DOI":"10.1109\/iccad51958.2021.9643454","type":"proceedings-article","created":{"date-parts":[[2021,12,23]],"date-time":"2021-12-23T23:06:46Z","timestamp":1640300806000},"page":"1-7","source":"Crossref","is-referenced-by-count":22,"title":["Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper)"],"prefix":"10.1109","author":[{"given":"Yawen","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dewen","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhepeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Sheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alaina J.","family":"James","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiyu","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingtong","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref32","year":"0","journal-title":"Skin disease atlas"},{"key":"ref31","author":"freire da silva","year":"0","journal-title":"Atlasderm dermatology diseases"},{"key":"ref30","year":"0","journal-title":"Skin Lesion Analysis Towards Melanoma Detection"},{"key":"ref10","article-title":"Advances and open problems in federated learning","author":"kairouz","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_13"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref14","article-title":"A simple framework for contrastive learning of visual representations","author":"chen","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref15","author":"caron","year":"2020","journal-title":"Unsupervised learning of visual features by contrasting cluster assignments"},{"key":"ref16","article-title":"Contrastive multiview coding","author":"tian","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00674"},{"key":"ref18","article-title":"What makes for good views for contrastive learning?","author":"tian","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586228"},{"key":"ref28","article-title":"Contrastive learning of global and local features for medical image segmentation with limited annotations","author":"chaitanya","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.30534\/ijatcse\/2019\/116852019"},{"key":"ref27","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2918221"},{"key":"ref6","year":"0","journal-title":"Using ai to help find answers to common skin conditions"},{"key":"ref29","article-title":"Unsupervised representation learning by predicting image rotations","author":"gidaris","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2942429"},{"key":"ref8","year":"0","journal-title":"Your smartphone gets even smarter with dermexpert"},{"key":"ref7","year":"0","journal-title":"Free artificial intelligence (ai) dermatology search"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2975198"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2020.3012216"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.31557\/APJCP.2019.20.6.1887"},{"key":"ref20","article-title":"Debiased contrastive learning","author":"chuang","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref22","article-title":"Contrastive learning with adversarial examples","author":"ho","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref21","article-title":"Big self-supervised models are strong semi-supervised learners","author":"chen","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref23","article-title":"Adversarial self-supervised contrastive learning","author":"kim","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref26","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":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_12"}],"event":{"name":"2021 IEEE\/ACM International Conference On Computer Aided Design (ICCAD)","location":"Munich, Germany","start":{"date-parts":[[2021,11,1]]},"end":{"date-parts":[[2021,11,4]]}},"container-title":["2021 IEEE\/ACM International Conference On Computer Aided Design (ICCAD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9643423\/9643432\/09643454.pdf?arnumber=9643454","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:12Z","timestamp":1652201712000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9643454\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,1]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/iccad51958.2021.9643454","relation":{},"subject":[],"published":{"date-parts":[[2021,11,1]]}}}