{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:21:17Z","timestamp":1792786877445,"version":"4.5.0"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["92167102"],"award-info":[{"award-number":["92167102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&amp;D Program of China","award":["2020YFB2009501"],"award-info":[{"award-number":["2020YFB2009501"]}]},{"name":"Basic Public Service Platform of Industrial Technology","award":["CEIEC-2021-ZM02-0167"],"award-info":[{"award-number":["CEIEC-2021-ZM02-0167"]}]},{"name":"Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions","award":["CIT&TCD20190308"],"award-info":[{"award-number":["CIT&TCD20190308"]}]},{"name":"Engineering Research Center of Intelligent Perception and Autonomous Control"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Sci. Eng."],"published-print":{"date-parts":[[2023,1,1]]},"DOI":"10.1109\/tnse.2022.3206243","type":"journal-article","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T15:43:24Z","timestamp":1663083804000},"page":"205-222","source":"Crossref","is-referenced-by-count":49,"title":["Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6058-0217","authenticated-orcid":false,"given":"Zhen","family":"Yang","sequence":"first","affiliation":[{"name":"Faculty of Information Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Zhou","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3761-9598","authenticated-orcid":false,"given":"Haiyang","family":"Yu","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5998-222X","authenticated-orcid":false,"given":"Richard O.","family":"Sinnott","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, Faculty of Engineering and Information Technology, University of Melbourne, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3264-7904","authenticated-orcid":false,"given":"Huan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computing, Informatics, and Decision Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2501\/IJMR-2017-050"},{"key":"ref2","first-page":"4424","article-title":"Federated multi-task learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Smith","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106854"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2021.3082022"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-4470-8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03583-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3074185"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2919699"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2020.3046665"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3100096"},{"key":"ref12","first-page":"14774","article-title":"Deep leakage from gradients","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Zhu","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737416"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/int.22241"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00033"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01607"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3050781"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2929409"},{"key":"ref19","first-page":"2938","article-title":"How to backdoor federated learning","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Bagdasaryan","year":"2020"},{"key":"ref20","article-title":"Can you really backdoor federated learning?","author":"Sun","year":"2019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3043139"},{"key":"ref22","article-title":"On the convergence of FedAvg on non-IID data","volume-title":"Proc. Int. Conf. Learn. Representations, Virtual Conf.","author":"Li","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10143-2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900456"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3053015"},{"key":"ref26","first-page":"296","article-title":"Federated learning with Gaussian differential privacy","volume-title":"Proc. 2nd Int. Conf. Robot. Intell. Control Artif. Intell.","author":"Zhou","year":"2020"},{"key":"ref27","article-title":"Exploring private federated learning with Laplacian smoothing","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst. Workshop Federated Learn. User Privacy Data Confidentiality","author":"Liang","year":"2019"},{"key":"ref28","first-page":"493","article-title":"BatchCrypt: Efficient homomorphic encryption for cross-silo federated learning","volume-title":"Proc. USENIX Annu. Tech. Conf.","author":"Zhang","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2021.3082561"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3022911"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2021.3054610"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-45239-0_4"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.05.005"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148628"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2953131"},{"key":"ref38","article-title":"Auto-FedAvg: Learnable federated averaging for multi-institutional medical image segmentation","author":"Xia","year":"2021"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCT.2012.6511277"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CBD.2018.00051"},{"issue":"4","key":"ref41","first-page":"617","article-title":"An integratable verifiable secret sharing mechanism","volume":"18","author":"Liu","year":"2016","journal-title":"Int. J. Netw. Secur."},{"key":"ref42","article-title":"Secure schemes for secret sharing and key distribution","author":"Beimel"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2014.2371239"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3335741.3335755"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44647-8_13"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/359168.359176"}],"container-title":["IEEE Transactions on Network Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488902\/10009001\/09889177.pdf?arnumber=9889177","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T16:16:52Z","timestamp":1705940212000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9889177\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,1]]},"references-count":46,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnse.2022.3206243","relation":{},"ISSN":["2327-4697","2334-329X"],"issn-type":[{"value":"2327-4697","type":"electronic"},{"value":"2334-329X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,1]]}}}