{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T19:53:27Z","timestamp":1782762807109,"version":"3.54.5"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"13","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"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":["61972241"],"award-info":[{"award-number":["61972241"]}],"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":["12441101"],"award-info":[{"award-number":["12441101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Soft Science Project of Shanghai","award":["25692107400"],"award-info":[{"award-number":["25692107400"]}]},{"DOI":"10.13039\/501100017688","name":"Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies","doi-asserted-by":"publisher","award":["2022B1212010005"],"award-info":[{"award-number":["2022B1212010005"]}],"id":[{"id":"10.13039\/501100017688","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,7,1]]},"DOI":"10.1109\/jiot.2026.3686246","type":"journal-article","created":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T19:50:33Z","timestamp":1776801033000},"page":"29274-29287","source":"Crossref","is-referenced-by-count":0,"title":["$\\mathsf{AnniMask}$ : Efficient and Dynamic Secure Aggregation Based on Double-Point Annihilation Mask"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0371-9357","authenticated-orcid":false,"given":"Jianguo","family":"Shen","sequence":"first","affiliation":[{"name":"College of Information Engineering, Shanghai Maritime University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0027-0142","authenticated-orcid":false,"given":"Xuru","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Shanghai Maritime University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0243-9995","authenticated-orcid":false,"given":"Lifei","family":"Wei","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Shanghai Maritime University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7165-398X","authenticated-orcid":false,"given":"Jianting","family":"Ning","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Federated learning for mobile keyboard prediction","author":"Hard","year":"2018","journal-title":"arXiv:1811.03604"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00323-1"},{"key":"ref4","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","volume":"54","author":"McMahan"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2787987"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SPW53761.2021.00017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref11","article-title":"Performance analysis and optimization in privacy-preserving federated learning","author":"Wei","year":"2020","journal-title":"arXiv:2003.00229"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3174394"},{"key":"ref13","first-page":"49927","article-title":"Janus: Dual-server multi-round secure aggregation with verifiability for federated learning","volume-title":"Proc. 42nd Int. Conf. Mach. Learn. (ICML), Poster Track","author":"Pu"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3370938"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102420"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2929409"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3043139"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3417885"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3074503"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3170156"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3194930"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3271268"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3273914"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3431294"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3330813"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/217"},{"key":"ref27","first-page":"5201","article-title":"The distributed discrete Gaussian mechanism for federated learning with secure aggregation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kairouz"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3227435"},{"key":"ref29","article-title":"Adaptive differential privacy in federated learning: A priority-based approach","author":"Talaei","year":"2024","journal-title":"arXiv:2401.02453"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/int.22818"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2023.3336977"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3445964"},{"key":"ref33","article-title":"Efficient and privacy-preserving federated learning based on full homomorphic encryption","author":"Guo","year":"2024","journal-title":"arXiv:2403.11519"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3176191"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-90567-5_26"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3486611"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2024.3380669"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3085960"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.12"},{"key":"ref40","first-page":"259","article-title":"Prio: Private, robust, and scalable computation of aggregate statistics","volume-title":"Proc. 14th USENIX Symp. Netw. Syst. design Implement. (NSDI)","author":"Corrigan-Gibbs"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48658-5_22"},{"key":"ref42","first-page":"374","article-title":"Towards federated learning at scale: System design","volume-title":"Proc. Mach. Learn. Syst.","author":"Bonawitz"},{"key":"ref43","first-page":"2505","article-title":"Delphi: A cryptographic inference service for neural networks","volume-title":"Proc. 29th USENIX Secur. Symp.","volume":"3","author":"Srinivasan"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/SP46215.2023.10179434"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2956615"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref47","volume-title":"Pytorch-CIFAR: A Repository for Training CIFAR10 With Pytorch","author":"Liu","year":"2020"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11581326\/11489033.pdf?arnumber=11489033","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T19:42:08Z","timestamp":1782762128000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11489033\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,1]]},"references-count":47,"journal-issue":{"issue":"13"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2026.3686246","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,1]]}}}