{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:23:33Z","timestamp":1780392213155,"version":"3.54.1"},"reference-count":66,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&#x0026;D Program","award":["2018YFB1004800"],"award-info":[{"award-number":["2018YFB1004800"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61725201"],"award-info":[{"award-number":["61725201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF","award":["CCF-1629347"],"award-info":[{"award-number":["CCF-1629347"]}]},{"name":"Basic Science Research Program","award":["2017R1A2B3010504"],"award-info":[{"award-number":["2017R1A2B3010504"]}]},{"name":"Next-Generation Information Computing Development Program","award":["2017M3C4A7065963"],"award-info":[{"award-number":["2017M3C4A7065963"]}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2020,2,1]]},"DOI":"10.1109\/tmc.2019.2893250","type":"journal-article","created":{"date-parts":[[2019,1,18]],"date-time":"2019-01-18T19:36:45Z","timestamp":1547840205000},"page":"314-330","source":"Crossref","is-referenced-by-count":116,"title":["DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning"],"prefix":"10.1109","volume":"19","author":[{"given":"Mengwei","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Qian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengze","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feifan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4943-5999","authenticated-orcid":false,"given":"Saumay","family":"Pushp","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7908-8484","authenticated-orcid":false,"given":"Xuanzhe","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2967360.2967369"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2017.39"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001177"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2684746.2689060"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2541940.2541967"},{"key":"ref30","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICPP.2017.39"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241563"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3210240.3210337"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001163"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.14778\/2732286.2732289"},{"key":"ref62","year":"2017"},{"key":"ref61","year":"2017"},{"key":"ref63","year":"2017"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854370"},{"key":"ref64","year":"2017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-015-0902-2"},{"key":"ref65","year":"2012"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2651823"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854363"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2968219.2971461"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3081333.3081359"},{"key":"ref20","year":"2017"},{"key":"ref22","first-page":"93","article-title":"COMET: Code offload by migrating execution transparently","author":"gordon","year":"2012","journal-title":"Proc 10th USENIX Conf Operat Syst Des Implementation"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1966445.1966473"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3037697.3037698"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2384616.2384634"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-015-5400-0"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-016-9197-0"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2015.7417877"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806402"},{"key":"ref59","year":"2017"},{"key":"ref58","year":"2018"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/1878961.1878982"},{"key":"ref56","year":"2017"},{"key":"ref55","year":"2017"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3089801.3089805"},{"key":"ref53","year":"2017"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2938559.2948825"},{"key":"ref10","year":"2015"},{"key":"ref11","article-title":"A First Look at Deep Learning Apps on Smartphones","author":"xu","year":"2018","journal-title":"Proc Int World Wide Web Conf"},{"key":"ref40","article-title":"A hybrid deep learning architecture for privacy-preserving mobile analytics","author":"ossia","year":"2017","journal-title":"arXiv 1703 02952"},{"key":"ref12","first-page":"2018","year":"2018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1814433.1814441"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2742647.2742649"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2594368.2594383"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3081333.3081351"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.521"},{"key":"ref18","first-page":"1269","article-title":"Exploiting linear structure within convolutional networks for efficient evaluation","author":"denton","year":"2014","journal-title":"Proc Annu Conf Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2906388.2906396"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2973750.2973777"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2016.7460664"},{"key":"ref6","first-page":"283","article-title":"DeepEar: Robust smartphone audio sensing in unconstrained acoustic environments using deep learning","author":"lane","year":"2015","journal-title":"Proc ACM Int Joint Conf Pervasive Ubiquitous Comput"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2994551.2994564"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3287075"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2699343.2699349"},{"key":"ref49","article-title":"Generating sequences with recurrent neural networks","author":"graves","year":"2013","journal-title":"arXiv 1308 0850 [cs]"},{"key":"ref9","year":"2016"},{"key":"ref46","article-title":"WaveNet: A generative model for raw audio","author":"dieleman","year":"2016","journal-title":"arXiv 1609 03499"},{"key":"ref45","year":"2017"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-2116"},{"key":"ref47","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Proc Annu Conf Neural Inf Process Syst"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref41","year":"2017"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052577"},{"key":"ref43","year":"2017"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7755\/8952734\/08618364.pdf?arnumber=8618364","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T16:36:20Z","timestamp":1651077380000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8618364\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,1]]},"references-count":66,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2019.2893250","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,1]]}}}