{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T10:48:21Z","timestamp":1780051701141,"version":"3.53.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","award":["AISG AISG2-RP-2020-019"],"award-info":[{"award-number":["AISG AISG2-RP-2020-019"]}],"id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Future Communications Research & Development Programme","award":["FCP-NTU-RG-2021-014"],"award-info":[{"award-number":["FCP-NTU-RG-2021-014"]}]},{"name":"Joint NTU-WeBank Research Centre on Fintech","award":["NWJ-2020-008"],"award-info":[{"award-number":["NWJ-2020-008"]}]},{"name":"Nanyang Assistant Professorship"},{"name":"RIE 2020 Advanced Manufacturing and Engineering","award":["A20G8b0102"],"award-info":[{"award-number":["A20G8b0102"]}]},{"name":"Future Communications Research & Development Programme","award":["FCP-NTU-RG-2021-014"],"award-info":[{"award-number":["FCP-NTU-RG-2021-014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tbdata.2022.3186991","type":"journal-article","created":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T19:58:07Z","timestamp":1656446287000},"page":"801-811","source":"Crossref","is-referenced-by-count":16,"title":["MarS-FL: Enabling Competitors to Collaborate in Federated Learning"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3699-5241","authenticated-orcid":false,"given":"Xiaohu","family":"Wu","sequence":"first","affiliation":[{"name":"WeBank-NTU Joint Research Centre on Fintech, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6893-8650","authenticated-orcid":false,"given":"Han","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1561\/9781680837896"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3387107"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_17"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3485875"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3411528"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3478863"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i08.7021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-69250-1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0186-1"},{"key":"ref11","first-page":"374","article-title":"Towards federated learning at scale: System design","volume-title":"Proc. Mach. Learn. Syst.","volume":"1","author":"Bonawitz"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1900271"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2021.12.002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2021.3063517"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_14"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006327"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LNET.2019.2947144"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449888"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2967772"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3375627.3375840"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.2987774"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS47774.2020.00094"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488705"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.2996273"},{"key":"ref25","volume-title":"Marketing Metrics: The Definitive Guide to Measuring Marketing Performance","author":"Farris","year":"2010"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511800481"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/0022-4359(93)90003-2"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746813"},{"key":"ref29","first-page":"16 104","article-title":"Gradient driven rewards to guarantee fairness in collaborative machine learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Xu"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2022.3148263"},{"key":"ref31","article-title":"Towards building a robust and fair federated learning system","author":"Xu","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3263594"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tccn.2022.3177522"},{"key":"ref34","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref35","first-page":"1","article-title":"On the convergence of FedAvg on Non-IID data","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.08.023"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1137\/080734510"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/10750532\/09809786.pdf?arnumber=9809786","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T15:29:29Z","timestamp":1732721369000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9809786\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":37,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2022.3186991","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}