{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T15:59:43Z","timestamp":1784217583381,"version":"3.55.0"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102021"],"award-info":[{"award-number":["62102021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M680350"],"award-info":[{"award-number":["2020M680350"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L212004"],"award-info":[{"award-number":["L212004"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Pearl River Talent Recruitment Program","award":["2019ZT08X603"],"award-info":[{"award-number":["2019ZT08X603"]}]},{"name":"Guangdong Pearl River Talent Plan","award":["2019JC01X235"],"award-info":[{"award-number":["2019JC01X235"]}]},{"DOI":"10.13039\/501100010877","name":"Shenzhen Science and Technology Innovation Commission","doi-asserted-by":"publisher","award":["R2020A045"],"award-info":[{"award-number":["R2020A045"]}],"id":[{"id":"10.13039\/501100010877","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["FRF-IDRY-20-020"],"award-info":[{"award-number":["FRF-IDRY-20-020"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cloud Comput."],"published-print":{"date-parts":[[2023,4,1]]},"DOI":"10.1109\/tcc.2022.3175725","type":"journal-article","created":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T19:36:14Z","timestamp":1653075374000},"page":"1954-1969","source":"Crossref","is-referenced-by-count":36,"title":["Edge AI as a Service: Configurable Model Deployment and Delay-Energy Optimization With Result Quality Constraints"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5488-2158","authenticated-orcid":false,"given":"Wenyu","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5982-8190","authenticated-orcid":false,"given":"Sherali","family":"Zeadally","sequence":"additional","affiliation":[{"name":"College of Communication and Information, University of Kentucky, Lexington, KY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0236-6482","authenticated-orcid":false,"given":"Haijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Beijing Advanced Innovation Center for Materials Genome Engineering, Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingyi","family":"Hou","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3529-2640","authenticated-orcid":false,"given":"Victor C. M.","family":"Leung","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.2986614"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800286"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.07.005"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2921977"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01044"},{"key":"ref16","year":"2021"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3007787"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2013.072513.121842"},{"key":"ref46","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref45","article-title":"Adaptive anomaly detection for IoT data in hierarchical edge computing","author":"ngo","year":"2020"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3097895.3097903"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3371154"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3299710.3211336"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946140"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.226"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2786343"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2918951"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2018.053681358"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.643"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2017.9"},{"key":"ref3","article-title":"Machine learning and cloud computing: Survey of distributed and saas solutions","author":"pop","year":"2016"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126076"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2970550"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3210240.3210337"},{"key":"ref35","article-title":"Deep gradient compression: Reducing the communication bandwidth for distributed training","author":"lin","year":"2017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000295"},{"key":"ref37","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015"},{"key":"ref36","article-title":"Lossy image compression with compressive autoencoders","author":"theis","year":"2017"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2020.2994737"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3320060"},{"key":"ref33","article-title":"Federated learning: Strategies for improving communication efficiency","author":"kone?n\u00fd","year":"2016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2017.07.014"},{"key":"ref2","first-page":"69","article-title":"Adversarial machine learning-industry perspectives","author":"siva","year":"2020","journal-title":"Proc IEEE Secur Privacy Workshops"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3234150"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09816-7"},{"key":"ref38","first-page":"1","article-title":"A portable, automatic data qantizer for deep neural networks","author":"young","year":"2018","journal-title":"Proc Int Conf Parallel Archit Compilation Tech"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-014-9314-7"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2020.02.010"},{"key":"ref20","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.2978856"},{"key":"ref21","author":"joseph","year":"2021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.3036852"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2897001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2897630"}],"container-title":["IEEE Transactions on Cloud Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6245519\/10144930\/09779508.pdf?arnumber=9779508","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T18:46:56Z","timestamp":1687805216000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9779508\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,1]]},"references-count":50,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcc.2022.3175725","relation":{},"ISSN":["2168-7161","2372-0018"],"issn-type":[{"value":"2168-7161","type":"electronic"},{"value":"2372-0018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,1]]}}}