{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T04:22:24Z","timestamp":1759638144312,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T00:00:00Z","timestamp":1635897600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Key R&D Program of China","award":["No.2021YFC0809905"],"award-info":[{"award-number":["No.2021YFC0809905"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.7217040417"],"award-info":[{"award-number":["No.7217040417"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,3]]},"DOI":"10.1145\/3486182.3493913","type":"proceedings-article","created":{"date-parts":[[2021,12,3]],"date-time":"2021-12-03T17:16:52Z","timestamp":1638551812000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["FedURR"],"prefix":"10.1145","author":[{"given":"Hang","family":"Gao","sequence":"first","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Liu","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,12,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/sll042-021-10682-w"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906275"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of Machine Learning Research 54:1273--1282 Available from https:\/\/proceedings.mlr","author":"McMahan B.","year":"2017","unstructured":"McMahan , B. , Moore , E. , Ramage , D. , Hampson , S. & Arcas , B.A.y.. ( 2017 ). Communication-Efficient Learning of Deep Networks from Decentralized Data. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics , in Proceedings of Machine Learning Research 54:1273--1282 Available from https:\/\/proceedings.mlr .press\/v54\/mcmahan17a.html. McMahan, B., Moore, E., Ramage, D., Hampson, S. & Arcas, B.A.y.. (2017). Communication-Efficient Learning of Deep Networks from Decentralized Data. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research 54:1273--1282 Available from https:\/\/proceedings.mlr.press\/v54\/mcmahan17a.html."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3047764"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20082202"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/PerComWorkshops51409.2021.9430985"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2019.11.022"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2021.1935590"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-202596"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.09.043"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2021.1935588"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16546"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462825"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41666-020-00082-4"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3040015"},{"key":"e_1_3_2_1_16_1","volume-title":"Very deep convolutional networks for large-scale image recognition. Computer Science","author":"Simonyan K.","year":"2014","unstructured":"Simonyan , K. , & Zisserman , A.. ( 2014 ). Very deep convolutional networks for large-scale image recognition. Computer Science . Simonyan, K., & Zisserman, A.. (2014). Very deep convolutional networks for large-scale image recognition. Computer Science."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"}],"event":{"name":"SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Beijing China","acronym":"SIGSPATIAL '21"},"container-title":["Proceedings of the 7th ACM SIGSPATIAL International Workshop on Emergency Management using GIS"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3486182.3493913","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3486182.3493913","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:07Z","timestamp":1750191127000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3486182.3493913"}},"subtitle":["a federated transfer learning framework for multi-department collaborative urban risk recognition"],"short-title":[],"issued":{"date-parts":[[2021,11,3]]},"references-count":18,"alternative-id":["10.1145\/3486182.3493913","10.1145\/3486182"],"URL":"https:\/\/doi.org\/10.1145\/3486182.3493913","relation":{},"subject":[],"published":{"date-parts":[[2021,11,3]]},"assertion":[{"value":"2021-12-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}