{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T15:53:07Z","timestamp":1778860387400,"version":"3.51.4"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100014219","name":"National Science Fund for Distinguished Young Scholars","doi-asserted-by":"publisher","award":["62025205"],"award-info":[{"award-number":["62025205"]}],"id":[{"id":"10.13039\/501100014219","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62032020"],"award-info":[{"award-number":["62032020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["6247074224"],"award-info":[{"award-number":["6247074224"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102317"],"award-info":[{"award-number":["62102317"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1109\/tmc.2024.3466931","type":"journal-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T17:32:05Z","timestamp":1727717525000},"page":"736-748","source":"Crossref","is-referenced-by-count":18,"title":["AdaKnife: Flexible DNN Offloading for Inference Acceleration on Heterogeneous Mobile Devices"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4402-1260","authenticated-orcid":false,"given":"Sicong","family":"Liu","sequence":"first","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9891-652X","authenticated-orcid":false,"given":"Hao","family":"Luo","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2653-5786","authenticated-orcid":false,"given":"XiaoChen","family":"Li","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Li","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6097-2467","authenticated-orcid":false,"given":"Bin","family":"Guo","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9905-3238","authenticated-orcid":false,"given":"Zhiwen","family":"Yu","sequence":"additional","affiliation":[{"name":"Harbin Engineering University, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1797-9131","authenticated-orcid":false,"given":"YuZhan","family":"Wang","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1663-9955","authenticated-orcid":false,"given":"Ke","family":"Ma","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YaSan","family":"Ding","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6509-9297","authenticated-orcid":false,"given":"Yuan","family":"Yao","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"265","article-title":"$\\lbrace${TensorFlow $\\rbrace$}: A system for $\\lbrace${ large-scale$\\rbrace$} machine learning","volume-title":"Proc. 12th USENIX Symp. Operating Syst. Des. Implementation","author":"Abadi"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/eng2.12189"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467078"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.apergo.2023.104021"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2020.2997008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS49710.2020.00031"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3472456.3472468"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2906388.2906396"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2021.681108"},{"key":"ref13","article-title":"CIFAR10 to compare visual recognition performance between deep neural networks and humans","author":"Ho-Phuoc","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737614"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155379"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS47774.2020.00114"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3093337.3037698"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-2766-4_7"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3302424.3303950"},{"key":"ref20","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref21","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-85928-2_37"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3229556.3229562"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/PADSW.2018.8645013"},{"issue":"1","key":"ref26","first-page":"105","article-title":"PaddlePaddle: An open-source deep learning platform from industrial practice","volume":"1","author":"Ma","year":"2019","journal-title":"Front. Data Domputing"},{"key":"ref27","first-page":"751","article-title":"Deepadapte","volume-title":"Proc. IEEE\/ACM Int. Conf. Comput.-Aided Des.","author":"Mao"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICPADS51040.2020.00097"},{"key":"ref29","article-title":"A survey on deep neural network compression: Challenges, overview, and solutions","author":"Mishra","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155237"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3453483.3454083"},{"key":"ref32","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00095"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3478073"},{"key":"ref38","article-title":"A survey on deep neural network partition over cloud, edge and end devices","author":"Xu","year":"2023"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-020-01794-2"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2858384"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/10836120\/10700984.pdf?arnumber=10700984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T20:25:55Z","timestamp":1736972755000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10700984\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2]]},"references-count":37,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2024.3466931","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":[[2025,2]]}}}