{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T18:23:14Z","timestamp":1766427794618,"version":"3.28.0"},"reference-count":61,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191101","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Community-Aware Federated Video Summarization"],"prefix":"10.1109","author":[{"given":"Fan","family":"Wan","sequence":"first","affiliation":[{"name":"Durham University,Department of Computer Science,Durham,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junyan","family":"Wang","sequence":"additional","affiliation":[{"name":"University of New South Wales,Department of Computer Science and Engineering,Sydney,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoran","family":"Duan","sequence":"additional","affiliation":[{"name":"Durham University,Department of Computer Science,Durham,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Song","sequence":"additional","affiliation":[{"name":"University of New South Wales,Department of Computer Science and Engineering,Sydney,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maurice","family":"Pagnucco","sequence":"additional","affiliation":[{"name":"University of New South Wales,Department of Computer Science and Engineering,Sydney,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Long","sequence":"additional","affiliation":[{"name":"Durham University,Department of Computer Science,Durham,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"year":"2020","author":"wang","journal-title":"Dynamic graph warping transformer for video alignment","key":"ref13"},{"doi-asserted-by":"publisher","key":"ref57","DOI":"10.1007\/978-3-319-10599-4_35"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1145\/3434770.3459734"},{"doi-asserted-by":"publisher","key":"ref56","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref15","article-title":"Maximizing spatio-temporal entropy of deep 3d cnns for efficient video rccognition","author":"wang","year":"2023","journal-title":"ArXiv Preprint"},{"doi-asserted-by":"publisher","key":"ref59","DOI":"10.1609\/aaai.v33i01.33019143"},{"year":"2022","author":"wang","journal-title":"Towards unified multi-excitation for unsupervised video prediction","key":"ref14"},{"key":"ref58","first-page":"202","article-title":"Unsupervised video sum-marization with adversarial lstm networks","author":"mahasseni","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"year":"1999","author":"zwillinger","journal-title":"CRC Standard Probability and Statistics Tables and Formulae","key":"ref53"},{"doi-asserted-by":"publisher","key":"ref52","DOI":"10.1093\/biomet\/33.3.239"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/TWC.2022.3166386"},{"key":"ref55","first-page":"19586","article-title":"An efficient frame-work for clustered federated learning","volume":"33","author":"ghosh","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref10","first-page":"1","article-title":"Federated learning with hierarchical clustering of local updates to improve training on non-iid data","author":"briggs","year":"2020","journal-title":"2020 International Joint Conference on Neural Networks (IJCNN)"},{"doi-asserted-by":"publisher","key":"ref54","DOI":"10.1109\/CVPR.2015.7298594"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1145\/3474085.3475519"},{"key":"ref16","article-title":"Order matters: Shuf-fling sequence generation for video prediction","author":"wang","year":"2019","journal-title":"ArXiv Preprint"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/TPAMI.2017.2762295"},{"key":"ref18","article-title":"Deep generative modelling: A comparative review of vaes, gans, normalizing flows, energy-based and autoregressive models","author":"bond-taylor","year":"2021","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"year":"0","author":"conti","journal-title":"Analytic Combinatorics","key":"ref51"},{"doi-asserted-by":"publisher","key":"ref50","DOI":"10.1007\/978-3-319-10584-0_33"},{"doi-asserted-by":"publisher","key":"ref46","DOI":"10.1007\/978-3-540-74048-3_4"},{"key":"ref45","article-title":"Multi-center federated learning","author":"xie","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref48","article-title":"Breaking the softmax bottleneck: A high-rank rnn language model","author":"yang","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref47","first-page":"281","article-title":"Classification and analysis of multivariate observations","author":"macqueen","year":"1967","journal-title":"Berkeley Symp Math Statistics and Prob"},{"doi-asserted-by":"publisher","key":"ref42","DOI":"10.1609\/aaai.v34i08.7021"},{"key":"ref41","article-title":"Uniformer: Unified transformer for efficient spatiotemporal representation learning","author":"li","year":"2022","journal-title":"ArXiv Preprint"},{"doi-asserted-by":"publisher","key":"ref44","DOI":"10.1007\/978-3-319-46478-7_47"},{"key":"ref43","article-title":"A comprehensive study of deep video action recognition","author":"zhu","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref49","first-page":"5179","article-title":"Tvsum: Summarizing web videos using titles","author":"song","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref8","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","author":"karimireddy","year":"2020","journal-title":"International Conference on Machine Learning"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1007\/s41666-020-00082-4"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00042"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref3","article-title":"Federated learning with non-iid data","author":"zhao","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref6","article-title":"Federated learning for mobile keyboard prediction","author":"hard","year":"2018","journal-title":"ArXiv Preprint"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.3390\/s20216230"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref35","article-title":"Sofa-net: Second-order and first-order attention network for crowd counting","author":"duan","year":"2020","journal-title":"ArXiv Preprint"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/TPAMI.2022.3233482"},{"key":"ref37","first-page":"12077","article-title":"Segformer: Simple and efficient design for semantic segmentation with transformers","volume":"34","author":"xie","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref36","article-title":"Deformable detr: Deformable transformers for end-to-end object detection","author":"zhu","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref31","article-title":"Federated multi-task learning","volume":"30","author":"smith","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref30","article-title":"Federated learning of a mixture of global and local models","author":"hanzely","year":"2020","journal-title":"ArXiv Rreprint ArXiv"},{"key":"ref33","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref32","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"NIPS"},{"key":"ref2","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"Artificial Intelligence and Statistics"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/CVPR.2019.00778"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1109\/ICCV48922.2021.00676"},{"key":"ref38","article-title":"Vsp-fuse: Multifocus image fusion model using the knowledge transferred from visual salience priors","author":"wang","year":"2022","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"ref24","first-page":"202","article-title":"Unsupervised video sum-marization with adversarial lstm networks","author":"mahasseni","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1007\/978-3-319-46478-7_47"},{"key":"ref26","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume":"2","author":"li","year":"2020","journal-title":"Proceedings of Machine Learning and Systems"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1145\/3394171.3414064"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1007\/978-3-319-10599-4_35"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1007\/978-3-030-01258-8_22"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/ICIP.2015.7351387"},{"key":"ref28","first-page":"3","article-title":"On the convergence of federated optimization in heterogeneous net-works","volume":"3","author":"sahu","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref27","article-title":"On the convergence of fedavg on non-iid data","author":"li","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref29","article-title":"Personalized federated learning: A meta-learning approach","author":"fallah","year":"2020","journal-title":"ArXiv Preprint"},{"doi-asserted-by":"publisher","key":"ref60","DOI":"10.1007\/978-3-030-58595-2_39"},{"doi-asserted-by":"publisher","key":"ref61","DOI":"10.1109\/TPAMI.2021.3072117"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191101.pdf?arnumber=10191101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:44:07Z","timestamp":1692639847000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191101\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191101","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}