{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T09:37:50Z","timestamp":1779097070517,"version":"3.51.4"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,16]]},"DOI":"10.1109\/icc45855.2022.9838801","type":"proceedings-article","created":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T19:37:11Z","timestamp":1660246631000},"page":"5353-5358","source":"Crossref","is-referenced-by-count":1,"title":["Learning and Energy Efficient Edge Intelligence: Data Partition and Rate Control"],"prefix":"10.1109","author":[{"given":"Xiaoyang","family":"Li","sequence":"first","affiliation":[{"name":"Southern University of Science and Technology,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuai","family":"Wang","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangxu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Shenzhen Research Institute of Big Data,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziqin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaibin","family":"Huang","sequence":"additional","affiliation":[{"name":"The University of Hong Kong,Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Gong","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3025446"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3381831"},{"key":"ref12","article-title":"Sustainable federated learning","author":"guler","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148853"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2001.916721"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2009.2020831"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2011.112811.100349"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2820077"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.45.6056"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900232"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8486403"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900103"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036971"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3010522"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2918951"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3021177"},{"key":"ref1","author":"mitchell","year":"2013","journal-title":"An Artificial Intelligence Approach"},{"key":"ref20","article-title":"CVX: Matlab software for disciplined convex programming","author":"grant","year":"2009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref21","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","article-title":"Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms","author":"xiao","year":"2017"},{"key":"ref25","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","author":"qi","year":"2017","journal-title":"Proc CVPR"}],"event":{"name":"ICC 2022 - IEEE International Conference on Communications","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2022,5,16]]},"end":{"date-parts":[[2022,5,20]]}},"container-title":["ICC 2022 - IEEE International Conference on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9837954\/9838246\/09838801.pdf?arnumber=9838801","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T20:29:13Z","timestamp":1662409753000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9838801\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,16]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icc45855.2022.9838801","relation":{},"subject":[],"published":{"date-parts":[[2022,5,16]]}}}