{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T01:37:11Z","timestamp":1784079431227,"version":"3.55.0"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62402313"],"award-info":[{"award-number":["62402313"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372288"],"award-info":[{"award-number":["62372288"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20519"],"award-info":[{"award-number":["U21A20519"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Science and Technology Innovation Action Plan","award":["23511100400"],"award-info":[{"award-number":["23511100400"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1109\/tmc.2024.3477616","type":"journal-article","created":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T17:30:49Z","timestamp":1728581449000},"page":"1212-1229","source":"Crossref","is-referenced-by-count":17,"title":["BIT-FL: Blockchain-Enabled Incentivized and Secure Federated Learning Framework"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2152-3826","authenticated-orcid":false,"given":"Chenhao","family":"Ying","sequence":"first","affiliation":[{"name":"Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8710-0683","authenticated-orcid":false,"given":"Fuyuan","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3839-5576","authenticated-orcid":false,"given":"David S. L.","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, Fordham University, Bronx, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5245-940X","authenticated-orcid":false,"given":"Xinchun","family":"Yu","sequence":"additional","affiliation":[{"name":"Institute of Data and Informtion, Shenzhen International Graduate School of Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yibin","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Copenhagen, København, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2626-4883","authenticated-orcid":false,"given":"Weiting","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5517-0301","authenticated-orcid":false,"given":"Xikun","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Copenhagen, København, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3790-3743","authenticated-orcid":false,"given":"Haiming","family":"Jin","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5741-0567","authenticated-orcid":false,"given":"Yuan","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0684-4111","authenticated-orcid":false,"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"U.S. National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7225-5449","authenticated-orcid":false,"given":"Dacheng","family":"Tao","sequence":"additional","affiliation":[{"name":"School of Computer Science, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3196646"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3222935"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tnet.2023.3264583"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2023.3303017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118352"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2021.3135422"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3168556"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3570953"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3524104"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2022.3169436"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-024-00839-y"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2023.3293731"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3213345"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2021.3072033"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3196274"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SRDS51746.2020.00016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3545008.3545040"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2022.01.019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2023.3253604"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3213323"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3138693"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108621"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSPW55150.2022.00008"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3056773"},{"key":"ref28","first-page":"118","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Blanchard"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3056991"},{"key":"ref30","first-page":"10495","article-title":"Zeno: Robust fully asynchronous SGD","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xie"},{"key":"ref31","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yin"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3202887"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2023.109604"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-022-06292-8"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3128164"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.25955"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/SP46215.2023.10179400"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1561\/9781601988195"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2015.2441031"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58951-6_24"},{"key":"ref41","first-page":"10546","article-title":"BackdoorBench: A comprehensive benchmark of backdoor learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wu"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2024.24006"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2016.50"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3548606.3559375"},{"key":"ref45","article-title":"Relative location of CT slices on axial axis data set","author":"Graf","year":"2011","journal-title":"UCI Mach. Learn. Repository"},{"key":"ref46","article-title":"BadNets: Identifying vulnerabilities in the machine learning model supply chain","author":"Gu","year":"2017"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.2001.959924"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973075.90"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2014.2320500"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-53641-4_24"},{"issue":"1","key":"ref51","first-page":"7854","article-title":"Catalyst acceleration for first-order convex optimization: From theory to practice","volume":"18","author":"Lin","year":"2018","journal-title":"J. Mach. Learn. Res."},{"key":"ref52","first-page":"1080","article-title":"Improved SVRG for non-strongly-convex or sum-of-non-convex objectives","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Allen-Zhu"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833584"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.2000.892324"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-023-00794-0"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/10836120\/10713281.pdf?arnumber=10713281","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T05:44:12Z","timestamp":1736487852000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10713281\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2]]},"references-count":55,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2024.3477616","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2]]}}}