{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T18:12:45Z","timestamp":1730225565386,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1109\/hpcc-smartcity-dss50907.2020.00117","type":"proceedings-article","created":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T18:34:05Z","timestamp":1619462045000},"page":"881-888","source":"Crossref","is-referenced-by-count":6,"title":["Smart Ponzi Scheme Detection using Federated Learning"],"prefix":"10.1109","author":[{"given":"Shuhui","family":"Fan","sequence":"first","affiliation":[]},{"given":"Haoran","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Shaojing","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Ming","family":"Xu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186046"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"journal-title":"EU General Data Protection Regulation (GDPR)","year":"2016","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2905769"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/Blockchain.2019.00042"},{"key":"ref15","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume":"54","author":"mcmahan","year":"2017","journal-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-23551-2_2"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3368926.3369705"},{"key":"ref18","article-title":"Secureboost: A lossless federated learning framework","author":"cheng","year":"2019","journal-title":"arXiv preprint arXiv 1901 08755"},{"key":"ref19","article-title":"The tradeoff between privacy and accuracy in anomaly detection using federated xgboost","author":"yang","year":"2019","journal-title":"arXiv preprint arXiv 1907 09977"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/ett.3995"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10207-019-00462-x"},{"key":"ref6","first-page":"1","article-title":"Secbcs: A secure and privacy-preserving blockchain-based crowdsourcing system","volume":"63","author":"chao","year":"2020","journal-title":"Science China Information Sciences"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2942389"},{"journal-title":"Crypto crime report","year":"2020","key":"ref8"},{"journal-title":"Crypto crime report","year":"2019","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2944400"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2969565"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.08.014"},{"key":"ref20","article-title":"Boosting privately: Privacy-preserving federated extreme boosting for mobile crowdsensing","author":"liu","year":"2019","journal-title":"arXiv preprint arXiv 1907 11634"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref21","article-title":"Loadaboost: Loss-based adaboost federated machine learning on medical data","author":"huang","year":"2018","journal-title":"arXiv preprint arXiv 1811 12629"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/11538059_91"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963461"}],"event":{"name":"2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC\/SmartCity\/DSS)","start":{"date-parts":[[2020,12,14]]},"location":"Yanuca Island, Cuvu, Fiji","end":{"date-parts":[[2020,12,16]]}},"container-title":["2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC\/SmartCity\/DSS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9407592\/9407822\/09407946.pdf?arnumber=9407946","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T11:36:56Z","timestamp":1656329816000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9407946\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/hpcc-smartcity-dss50907.2020.00117","relation":{},"subject":[],"published":{"date-parts":[[2020,12]]}}}