{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T13:01:55Z","timestamp":1787317315501,"version":"build-2736575974"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"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":["62072216"],"award-info":[{"award-number":["62072216"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/tnsm.2021.3135306","type":"journal-article","created":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T15:39:12Z","timestamp":1639496352000},"page":"1399-1412","source":"Crossref","is-referenced-by-count":28,"title":["CVC: A Collaborative Video Caching Framework Based on Federated Learning at the Edge"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2617-2110","authenticated-orcid":false,"given":"Yijing","family":"Li","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1715-6226","authenticated-orcid":false,"given":"Shihong","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6884-5670","authenticated-orcid":false,"given":"Guanghui","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science and the Research Center for IoT Technology Application Engineering (MOE), Jiangnan University, Wuxi, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2021.102516"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2018.2880482"},{"key":"ref33","article-title":"Analyzing the performance of LRU caches under non-stationary traffic patterns","author":"ahmed","year":"2013","journal-title":"arXiv 1301 4909"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2986803"},{"key":"ref31","article-title":"Privacy-preserving blockchain-based federated learning for IoT devices","author":"zhao","year":"2019","journal-title":"arXiv 1906 10893"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759317"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2903245"},{"key":"ref36","article-title":"Better and simpler learning-augmented online caching","author":"wei","year":"2020","journal-title":"arXiv 2005 13716"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1816038.1815971"},{"key":"ref34","first-page":"1","article-title":"Caching performance of content centric networks under multi-path routing (and more)","author":"rossi","year":"2011"},{"key":"ref28","article-title":"Federated learning for Emoji prediction in a mobile keyboard","author":"ramaswamy","year":"2019","journal-title":"arXiv 1906 04329"},{"key":"ref27","article-title":"Federated learning for mobile keyboard prediction","author":"hard","year":"2018","journal-title":"arXiv 1811 03604"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2019.103291"},{"key":"ref2","article-title":"How 5G will transform the business of media & entertainment","author":"gallagher","year":"2018"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2018.2816786"},{"key":"ref20","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref22","first-page":"3973","article-title":"Fedboost: A communication-efficient algorithm for federated learning","author":"hamer","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref21","article-title":"Privacy preservation in federated learning: An insightful survey from the GDPR perspective","author":"truong","year":"2020","journal-title":"arXiv 2011 05411"},{"key":"ref24","article-title":"Towards federated learning at scale: System design","author":"bonawitz","year":"2019","journal-title":"arXiv 1902 01046"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2024789118"},{"key":"ref26","article-title":"Federated collaborative filtering for privacy-preserving personalized recommendation system","author":"ammad-ud-din","year":"2019","journal-title":"arXiv 1901 09888"},{"key":"ref25","first-page":"1","volume":"13","author":"yang","year":"2019","journal-title":"Federated Learning"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2291211"},{"key":"ref11","first-page":"1","article-title":"Survey on caching technology in mobile edge networks","volume":"40","author":"ying","year":"2017","journal-title":"Journal of Beijing University of Posts and Telecommunicatns"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2016.2636139"},{"key":"ref12","year":"2018","journal-title":"Multi-access Edge Computing (MEC) Phase 2 Use Cases and Requirements"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2884913"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800058"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2596042"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2019.2912365"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3392717.3392748"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1504\/IJCSE.2020.105727"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2845898"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2915983"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2018.2879591"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-94340-4_1"},{"key":"ref8","author":"zhong","year":"2018","journal-title":"How to Integrate Edge Computing into Video Service"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1900345"},{"key":"ref49","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6871674"},{"key":"ref46","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref48","author":"chandra","year":"2015","journal-title":"Python requests essentials"},{"key":"ref47","first-page":"51","article-title":"Data structures for statistical computing in python","volume":"445","author":"mckinney","year":"2010","journal-title":"Proc 9th Python Sci Conf"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1413"},{"key":"ref41","first-page":"13","article-title":"Recurrent hierarchical topic-guided RNN for language generation","volume":"119","author":"guo","year":"2020","journal-title":"Proc 37th Int Conf Mach Learn"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102674"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4275028\/9792219\/09650578.pdf?arnumber=9650578","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T16:30:39Z","timestamp":1656347439000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9650578\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":49,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2021.3135306","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6]]}}}