{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T15:22:33Z","timestamp":1788448953194,"version":"build-2803163510"},"reference-count":76,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"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":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2023,9,1]]},"DOI":"10.1109\/tmc.2022.3177569","type":"journal-article","created":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T19:41:44Z","timestamp":1653421304000},"page":"5539-5554","source":"Crossref","is-referenced-by-count":52,"title":["SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2960-1128","authenticated-orcid":false,"given":"Shreshth","family":"Tuli","sequence":"first","affiliation":[{"name":"Department of Computing, Imperial College London, London, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4548-7951","authenticated-orcid":false,"given":"Giuliano","family":"Casale","sequence":"additional","affiliation":[{"name":"Department of Computing, Imperial College London, London, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicholas R.","family":"Jennings","sequence":"additional","affiliation":[{"name":"Department of Computing, Imperial College London, London, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2016.2611964"},{"key":"ref57","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2750180"},{"key":"ref56","article-title":"RBED: Reward based epsilon decay","author":"maroti","year":"2019"},{"key":"ref15","first-page":"1","article-title":"Scale-out edge storage systems with embedded storage nodes to get better availability and cost-efficiency at the same time","author":"liu","year":"2020","journal-title":"Proc 3rd USENIX Workshop Hot Topics Edge Comput"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054429"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000373"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2937108"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7687-1_891"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2018.8422237"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC50251.2020.00023"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2876279"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3419194"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27645-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3007787"},{"key":"ref16","first-page":"1866","article-title":"SplitNet: Learning to semantically split deep networks for parameter reduction and model parallelization","author":"kim","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3061981"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2016.7536737"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3087349"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3034925"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS47774.2020.00101"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2019.04.050"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378280"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3058532"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3093337.3037698"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IEEE.EDGE.2017.45"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.2976475"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2019.2893648"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/10798587.2017.1329245"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2769120"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3429880.3430093"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946140"},{"key":"ref3","first-page":"88","article-title":"Benchmarking and analyzing deep neural network training","author":"zhu","year":"2018","journal-title":"Proc IEEE Int Symp Workload Characterization"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2704100"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-6634-9_11"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.226"},{"key":"ref35","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref34","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"xiao","year":"2017"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2019.8824955"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3375555.3384380"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185782"},{"key":"ref75","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2016.09.015"},{"key":"ref74","first-page":"374","article-title":"Towards federated learning at scale: System design","author":"bonawitz","year":"2019","journal-title":"Proc Mach Learn Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS51616.2021.00022"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/s00450-019-00413-w"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2019.100118"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3512798.3512821"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00197"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops49005.2020.9145068"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/iSSSC50941.2020.9358882"},{"key":"ref72","first-page":"31","article-title":"AIoT bench: Towards comprehensive benchmarking mobile and embedded device intelligence","author":"luo","year":"2018","journal-title":"Proc Int Symp Benchmarking Measuring Optim"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2020.2983648"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3141730"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2921977"},{"key":"ref67","first-page":"128","article-title":"Recent development and applications of SUMO-simulation of urban mobility","volume":"5","author":"krajzewicz","year":"2012","journal-title":"Int J Adv Syst Meas"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1201\/9781003019855-5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3419215"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.10.043"},{"key":"ref64","article-title":"Automatic differentiation in pytorch","author":"paszke","year":"2017","journal-title":"Proc Int Conf Neural Inf Process Syst 2017 Workshop Autodiff"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3357526.3357542"},{"key":"ref22","first-page":"443","article-title":"Serving DNNs like clockwork: Performance predictability from the bottom up","author":"gujarati","year":"2020","journal-title":"Proc 14th USENIX Symp Oper Syst Des Implementation"},{"key":"ref66","first-page":"539","article-title":"Modelling edge computing in urban mobility simulation scenarios","author":"gilly","year":"2020","journal-title":"Proc IFIP Netw Conf"},{"key":"ref21","first-page":"595","article-title":"Gandiva: Introspective cluster scheduling for deep learning","author":"xiao","year":"2018","journal-title":"Proc 13th USENIX Symp Oper Syst Des Implementation"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3017079"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TELFOR.2018.8612133"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3349614.3356022"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2008.4633934"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/EDGE.2018.00008"},{"key":"ref62","author":"grinberg","year":"2018","journal-title":"Flask web development developing web applications with python"},{"key":"ref61","first-page":"1","article-title":"Decoupled weight decay regularization","author":"loshchilov","year":"2018","journal-title":"Proc Int Conf Learn Representations"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7755\/10209076\/09780535.pdf?arnumber=9780535","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:05:45Z","timestamp":1691431545000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9780535\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,1]]},"references-count":76,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2022.3177569","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":[[2023,9,1]]}}}