{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T15:59:52Z","timestamp":1781279992581,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"RIE2020 Industry Alignment Fund - Industry Collaboration Projects (IAF-ICP) Funding Initiative"},{"name":"the National Research Foundation Singapore and the Energy Market Authority under its Energy Programme","award":["EP Award NRF2017EWT-EP003-023"],"award-info":[{"award-number":["EP Award NRF2017EWT-EP003-023"]}]},{"name":"Singapore MOE under its Tier 1 grant call","award":["Reference number RG96\/20"],"award-info":[{"award-number":["Reference number RG96\/20"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1145\/3474085.3475182","type":"proceedings-article","created":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T08:03:42Z","timestamp":1634544222000},"page":"433-441","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":41,"title":["Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification"],"prefix":"10.1145","author":[{"given":"Weiming","family":"Zhuang","sequence":"first","affiliation":[{"name":"Nanyang Technological University & SenseTime Research, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yonggang","family":"Wen","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuai","family":"Zhang","sequence":"additional","affiliation":[{"name":"SenseTime Research, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2072572.2072590"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123352"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/3350833"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00110"},{"key":"e_1_3_2_2_5_1","volume-title":"Personalized federated learning with Moreau envelopes. arXiv preprint arXiv:2006.08848","author":"Dinh Canh T","year":"2020"},{"key":"e_1_3_2_2_6_1","volume-title":"Advances in Neural Information Processing Systems","volume":"33","author":"Fallah Alireza","year":"2020"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3243316"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_21"},{"key":"e_1_3_2_2_10_1","volume-title":"Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 770--778","author":"He K."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/2009594.2009606"},{"key":"e_1_3_2_2_12_1","volume-title":"Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, et al.","author":"Kairouz Peter","year":"2019"},{"key":"e_1_3_2_2_13_1","volume-title":"MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identification. In 31st British Machine Vision Conference","author":"Lan Yushi","year":"2020"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2898940"},{"key":"e_1_3_2_2_15_1","volume-title":"Fedmd: Heterogenous federated learning via model distillation. arXiv preprint arXiv:1910.03581","author":"Li Daliang","year":"2019"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"e_1_3_2_2_17_1","volume-title":"Proceedings of Machine Learning and Systems","author":"Li Tian","year":"2020"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37331-2_3"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018738"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00737"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413904"},{"key":"e_1_3_2_2_23_1","unstructured":"Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial Intelligence and Statistics. PMLR 1273--1282.  Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial Intelligence and Statistics. PMLR 1273--1282."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295196"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3378679.3394530"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240552"},{"key":"e_1_3_2_2_28_1","volume-title":"Federated Learning with Matched Averaging. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=BkluqlSFDS","author":"Wang Hongyi","year":"2020"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_45"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00016"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00016"},{"key":"e_1_3_2_2_32_1","volume-title":"Proceedings of NIPS Federated Learning for Data Privacy and Confidentiality Workshop .","author":"Yao Xin","year":"2019"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.550"},{"key":"e_1_3_2_2_34_1","volume-title":"Deep learning for person re-identification: A survey and outlook","author":"Ye Mang","year":"2021"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01367"},{"key":"e_1_3_2_2_36_1","volume-title":"Federated Unsupervised Representation Learning. arXiv preprint arXiv:2010.08982","author":"Zhang Fengda","year":"2020"},{"key":"e_1_3_2_2_37_1","volume-title":"Federated Learning with Non-IID Data. CoRR","author":"Zhao Yue","year":"2018"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.5555\/2919332.2919877"},{"key":"e_1_3_2_2_39_1","volume-title":"Hauptmann","author":"Zheng Liang","year":"2016"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_11"},{"key":"e_1_3_2_2_42_1","volume-title":"2021 a","author":"Zhuang Weiming","year":"2021"},{"key":"e_1_3_2_2_43_1","volume-title":"2021 b. Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning. arXiv preprint arXiv:2105.07606","author":"Zhuang Weiming","year":"2021"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413814"}],"event":{"name":"MM '21: ACM Multimedia Conference","location":"Virtual Event China","acronym":"MM '21","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 29th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475182","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474085.3475182","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:47Z","timestamp":1750193327000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475182"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":44,"alternative-id":["10.1145\/3474085.3475182","10.1145\/3474085"],"URL":"https:\/\/doi.org\/10.1145\/3474085.3475182","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]},"assertion":[{"value":"2021-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}