{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T22:19:45Z","timestamp":1771366785235,"version":"3.50.1"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T00:00:00Z","timestamp":1744675200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T00:00:00Z","timestamp":1744675200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T00:00:00Z","timestamp":1744675200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Ministry of Science and Technology, Taiwan","award":["MOST 110-2221-E-002-184-MY3"],"award-info":[{"award-number":["MOST 110-2221-E-002-184-MY3"]}]},{"name":"Ministry of Science and Technology, Taiwan","award":["NSTC 113-2221-E-002-120-MY3"],"award-info":[{"award-number":["NSTC 113-2221-E-002-120-MY3"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,4,15]]},"DOI":"10.1109\/jiot.2024.3514661","type":"journal-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T14:04:08Z","timestamp":1733753048000},"page":"11081-11095","source":"Crossref","is-referenced-by-count":0,"title":["EECS: Efficient End-Cloud Collaborative System With On-Demand Offloading Mechanism for Convolutional Neural Network"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0619-6396","authenticated-orcid":false,"given":"Yi-Cheng","family":"Lo","sequence":"first","affiliation":[{"name":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9492-568X","authenticated-orcid":false,"given":"Cheng-Lin","family":"Hsieh","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Department, University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9487-3954","authenticated-orcid":false,"given":"Hao-Wei","family":"Chiang","sequence":"additional","affiliation":[{"name":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4731-8633","authenticated-orcid":false,"given":"An-Yeu","family":"Wu","sequence":"additional","affiliation":[{"name":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3088875"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3393230"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2907245"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2021.100461"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3340858"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS47286.2019.9093772"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s21134494"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.063"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3093337.3037698"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946140"},{"key":"ref12","first-page":"2516","article-title":"Zero time waste: Recycling predictions in early exit neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Wo\u0142czyk"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3117837"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00850"},{"key":"ref15","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","author":"Hendrycks","year":"2016","journal-title":"arXiv:1610.02136"},{"key":"ref16","first-page":"1","article-title":"Addressing failure prediction by learning model confidence","volume-title":"Proc. 33rd Conf. Neural Inf. Process. Syst.","author":"Corbi\u00e8re"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP55844.2023.10285929"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP55844.2023.10285905"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3294111"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10562-9"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2003.1248658"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2935743"},{"key":"ref23","first-page":"481","article-title":"Single-path NAS: Designing hardware-efficient convNets in less than 4 h","volume-title":"Proc. Joint Eur. Conf. Mach. Learn. Knowl. Discov. Databases","author":"Stamoulis"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2023.3242761"},{"key":"ref25","article-title":"Slimmable neural networks","author":"Yu","year":"2018","journal-title":"arXiv:1812.08928"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00189"},{"key":"ref27","first-page":"1","article-title":"Dynamic channel pruning: Feature boosting and suppression","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Gao"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/sym11091066"},{"key":"ref29","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Khosla"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24261-3_7"},{"key":"ref31","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref33","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref34","volume-title":"Tiny ImageNet visual recognition challenge","author":"Le","year":"2015"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/10957755\/10787229.pdf?arnumber=10787229","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T21:09:34Z","timestamp":1771362574000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10787229\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,15]]},"references-count":34,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2024.3514661","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,15]]}}}