{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:33:44Z","timestamp":1770842024714,"version":"3.50.1"},"reference-count":53,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T00:00:00Z","timestamp":1641254400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T00:00:00Z","timestamp":1641254400000},"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":[[2022,1,4]]},"DOI":"10.1109\/comsnets53615.2022.9668610","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:03Z","timestamp":1642106343000},"page":"549-557","source":"Crossref","is-referenced-by-count":6,"title":["SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment"],"prefix":"10.1109","author":[{"given":"Ishan","family":"Prakash","sequence":"first","affiliation":[{"name":"Delhi Technological University,New Delhi,India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aniruddh","family":"Bansal","sequence":"additional","affiliation":[{"name":"Delhi Technological University,New Delhi,India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rohit","family":"Verma","sequence":"additional","affiliation":[{"name":"University of Cambridge,Cambridge,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajeev","family":"Shorey","sequence":"additional","affiliation":[{"name":"UQIDAR, IIT Delhi,New Delhi,India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","author":"mallick","year":"0","journal-title":"Number of parameters and tensor sizes in a convolutional neural network (cnn)"},{"key":"ref38","author":"noordbruis","year":"2020","journal-title":"Energy efficient wlan using wifi standards b\/a\/g\/n\/ac on an archer c7 ac1750 access point"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5220\/0010203706040613"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304038"},{"key":"ref31","article-title":"Splitting convolutional neural network structures for efficient inference","author":"malekhosseini","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-015-9420-y"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2016.2538228"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MSR.2017.66"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2019.8824955"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IC2E.2018.00042"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3204919.3204924"},{"key":"ref27","year":"0","journal-title":"Simd neon"},{"key":"ref29","first-page":"1201","article-title":"Cn-ndroid: Gpu-accelerated execution of trained deep convolutional neural networks on android","volume":"2016","author":"oskouei","year":"0","journal-title":"Proceedings ofthe 24th ACM international conference on Multimedia"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-46805-6_19"},{"key":"ref1","year":"0","journal-title":"Artificial intelligence in your smartphone? you'll need faster storage"},{"key":"ref20","first-page":"0","article-title":"Ai benchmark: Running deep neural networks on android smartphones","volume":"2018","author":"lgnatov","year":"0","journal-title":"Proceedings ofthe European Conference on Computer Vision (ECCV) Workshops"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"ref21","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2971418"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967243"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3349614.3356022"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-009-0460-7"},{"key":"ref51","author":"nour","year":"2009","journal-title":"A weighted metric method to optimize multi-response robust problems"},{"key":"ref53","article-title":"Depthwise separable convolutions for neural machine translation","author":"kaiser","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/sym12111758"},{"key":"ref10","article-title":"Yolov3: An incremental improvement","author":"redmon","year":"2018","journal-title":"ArXiv"},{"key":"ref11","year":"0","journal-title":"Tensor Flow Lite"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.suscom.2017.12.002"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3051414"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/COMSNETS48256.2020.9027432"},{"key":"ref14","article-title":"Joint multi-user dnn partitioning and computational resource allocation for collaborative edge intelligence","author":"tang","year":"2020","journal-title":"IEEE Internet of Things Journal"},{"key":"ref15","year":"0","journal-title":"Pytorch for android"},{"key":"ref16","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref17","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref18","article-title":"1nception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"0","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICNP.2017.8117585"},{"key":"ref4","year":"0","journal-title":"An On-device Deep Neural Network for Face Detection"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.1501055"},{"key":"ref6","year":"0","journal-title":"HUAWEI Reveals the Future of Mobile AI at IFA 2017"},{"key":"ref5","year":"0","journal-title":"The rise of ai One in three smartphones will be ai capable in 2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref7","year":"0","journal-title":"Iphone 8 and iphone 8 plus A new generation of iphone"},{"key":"ref49","author":"chankong","year":"2008","journal-title":"Multiobjective Decision Making Theory and Methodology"},{"key":"ref9","article-title":"Squeezenet: Alexnet-level accuracy with 50x fewer parameters andj 0.5 mb model size","author":"iandola","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.1999.781913"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1994.2.3.221"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2861760"},{"key":"ref47","article-title":"An evolutionary algorithm for multiobjective optimization: The strength pareto approach","volume":"43","author":"zitzler","year":"1998","journal-title":"TIK-Report"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1017\/CCOL052123736X.006"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2307636.2307658"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.05.056"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"}],"event":{"name":"2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS)","location":"Bangalore, India","start":{"date-parts":[[2022,1,4]]},"end":{"date-parts":[[2022,1,8]]}},"container-title":["2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9668311\/9667790\/09668610.pdf?arnumber=9668610","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:40:32Z","timestamp":1659483632000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9668610\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,4]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/comsnets53615.2022.9668610","relation":{},"subject":[],"published":{"date-parts":[[2022,1,4]]}}}