{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T05:50:11Z","timestamp":1726033811764},"reference-count":17,"publisher":"IEEE","license":[{"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/vtc2022-spring54318.2022.9860610","type":"proceedings-article","created":{"date-parts":[[2022,8,25]],"date-time":"2022-08-25T15:39:23Z","timestamp":1661441963000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Ensemble-Based Distributed Learning for Generative Adversarial Networks"],"prefix":"10.1109","author":[{"given":"Chonghe","family":"Liu","sequence":"first","affiliation":[{"name":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China"}]},{"given":"Jinke","family":"Ren","sequence":"additional","affiliation":[{"name":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China"}]},{"given":"Guanding","family":"Yu","sequence":"additional","affiliation":[{"name":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China"}]}],"member":"263","reference":[{"key":"ref10","article-title":"FedGAN: Federated generative adversarial networks for distributed data","author":"rasouli","year":"0","journal-title":"arXiv 2006 07228"},{"key":"ref11","first-page":"866","article-title":"Decentralized parallel algorithm for training generative adversarial nets","author":"liu","year":"2020","journal-title":"Proc Adv Neural Inform Process Syst (NeurIPS)"},{"journal-title":"A new distributed method for training generative adversarial networks","year":"2021","author":"ren","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/34.58871"},{"key":"ref14","first-page":"1","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"Proc Int Conf Artif Intell Statist (AISTATS)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2845360"},{"journal-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","year":"2015","author":"radford","key":"ref16"},{"key":"ref17","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","author":"heusel","year":"2017","journal-title":"Proc NeurIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900103"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036971"},{"key":"ref6","first-page":"1","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"Proc Int Conf Artif Intell Statist (AISTATS)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118346"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref7","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inform Process Syst (NeurIPS)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2019.00095"}],"event":{"name":"2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring)","start":{"date-parts":[[2022,6,19]]},"location":"Helsinki, Finland","end":{"date-parts":[[2022,6,22]]}},"container-title":["2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9860273\/9860350\/09860610.pdf?arnumber=9860610","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T17:01:11Z","timestamp":1664211671000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9860610\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/vtc2022-spring54318.2022.9860610","relation":{},"subject":[],"published":{"date-parts":[[2022,6]]}}}