{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T13:39:43Z","timestamp":1754487583771,"version":"3.28.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100017607","name":"Shenzhen Fundamental Research Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100017607","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10651045","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-9","source":"Crossref","is-referenced-by-count":2,"title":["Scene-based Graph Convolutional Networks for Federated Multi-Label Classification"],"prefix":"10.1109","author":[{"given":"Shaocong","family":"Xue","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology,Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies,Shenzhen,China,518055"}]},{"given":"Wenjian","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology,Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies,Shenzhen,China,518055"}]},{"given":"Yongkang","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology,Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies,Shenzhen,China,518055"}]},{"given":"Zeping","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology,Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies,Shenzhen,China,518055"}]},{"given":"Jiahao","family":"Gu","sequence":"additional","affiliation":[{"name":"China University of Mining & Technology-Beijing,School of Science,China"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/TPAMI.2017.2651061"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/CVPR.2017.243"},{"year":"2014","author":"Simonyan","journal-title":"Very deep convolutional networks for large-scale image recognition","key":"ref4"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/CVPR.2016.308"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/TPAMI.2021.3063496"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/ICCV51070.2023.00142"},{"year":"2017","author":"Shazeer","journal-title":"Outrageously large neural networks: The sparsely-gated mixture-of-experts layer","key":"ref8"},{"key":"ref9","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Artificial Intelligence and Statistics.","author":"McMahan","year":"2017"},{"year":"2016","author":"Kone\u010dn\u1ef3","article-title":"Federated learning: Strategies for improving communication efficiency","key":"ref10"},{"key":"ref11","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine Learning and Systems","volume":"2","author":"Li"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/MSP.2020.2975749"},{"year":"2018","author":"Hard","article-title":"Federated learning for mobile keyboard prediction","key":"ref13"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1007\/978-3-031-36625-3_16"},{"year":"2023","author":"Chang","article-title":"FLAG: Fast label-adaptive aggregation for multi-label classification in federated learning","key":"ref15"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/TMI.2022.3231017"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1145\/1772690.1772862"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/CVPR.2018.00716"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/CVPR.2018.00745"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/CVPR.2017.634"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/CVPR.2017.195"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/TKDE.2006.162"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/CVPR.2016.251"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1007\/978-3-030-58589-1_39"},{"year":"2016","author":"Kipf","article-title":"Semi-supervised classification with graph convolutional networks","key":"ref25"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.3115\/v1\/D14-1162"},{"year":"2016","author":"Kim","article-title":"Hadamard product for low-rank bilinear pooling","key":"ref27"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/ICCV48922.2021.00015"},{"key":"ref29","first-page":"5132","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","volume-title":"International Conference on Machine Learning","author":"Karimireddy"},{"key":"ref30","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","volume":"33","author":"Wang","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1007\/s11263-009-0275-4"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1007\/978-3-319-10602-1_48"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1109\/CVPR.2017.219"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/CVPR.2009.5206848"},{"year":"2017","author":"Loshchilov","article-title":"Decoupled weight decay regularization","key":"ref35"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2024,6,30]]},"location":"Yokohama, Japan","end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"https:\/\/linproxy.fan.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10651045.pdf?arnumber=10651045","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T06:26:56Z","timestamp":1725949616000},"score":1,"resource":{"primary":{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/10651045\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":35,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1109\/ijcnn60899.2024.10651045","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}