{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T19:52:49Z","timestamp":1775332369933,"version":"3.50.1"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"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":["61862052"],"award-info":[{"award-number":["61862052"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Foundation of Qinghai Province","award":["2023-ZJ-731"],"award-info":[{"award-number":["2023-ZJ-731"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Consumer Electron."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tce.2024.3376561","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T19:06:51Z","timestamp":1710788811000},"page":"725-734","source":"Crossref","is-referenced-by-count":18,"title":["ApaPRFL: Robust Privacy-Preserving Federated Learning Scheme Against Poisoning Adversaries for Intelligent Devices Using Edge Computing"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1239-2528","authenticated-orcid":false,"given":"Shaojun","family":"Zuo","sequence":"first","affiliation":[{"name":"Department of Computer Technology and Application, Qinghai University, Xining, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0472-5378","authenticated-orcid":false,"given":"Yong","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Computer Technology and Application, Qinghai University, Xining, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9897-1953","authenticated-orcid":false,"given":"Libing","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China"}]},{"given":"Jing","family":"Wu","sequence":"additional","affiliation":[{"name":"Qinghai Provincial Key Laboratory of Big Data in Finance and Artificial Intelligence Application Technology, Qinghai University of Science and Technology, Xining, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3237715"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3238655"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3268061"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2991734"},{"key":"ref5","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":"ref6","first-page":"118","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Blanchard"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3131175"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2022.3215467"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2022.109340"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom56396.2022.00030"},{"key":"ref11","article-title":"Mitigating sybils in federated learning poisoning","author":"Fung","year":"2018","journal-title":"arXiv:1808.04866"},{"key":"ref12","article-title":"Abnormal client behavior detection in federated learning","author":"Li","year":"2019","journal-title":"arXiv:1910.09933"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2946020"},{"key":"ref14","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yin"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011544"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2023.3323206"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2023.3343821"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3322784"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2023.3315415"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24351"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813687"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3417885"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/fi13040094"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid49817.2020.00-52"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2998086"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2018.2881452"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1128817.1128824"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3172310"},{"key":"ref31","article-title":"Defending against the label-flipping attack in federated learning","author":"Jebreel","year":"2022","journal-title":"arXiv:2207.01982"},{"key":"ref32","first-page":"2938","article-title":"How to backdoor federated learning","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Bagdasaryan"},{"key":"ref33","first-page":"1","article-title":"DBA: Distributed backdoor attacks against federated learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Xie"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747653"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/359168.359176"},{"key":"ref36","first-page":"251","article-title":"Secret sharing homomorphisms: Keeping shares of a secret secret","volume-title":"Proc. Conf. Theory Appl. Cryptogr. Techn.","author":"Benaloh"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1976.1055638"},{"key":"ref38","first-page":"16937","article-title":"Inverting gradients-how easy is it to break privacy in federated learning?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Geiping"},{"key":"ref39","first-page":"3521","article-title":"The hidden vulnerability of distributed learning in Byzantium","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Guerraoui"}],"container-title":["IEEE Transactions on Consumer Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/30\/10510045\/10470365.pdf?arnumber=10470365","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T18:25:48Z","timestamp":1739298348000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10470365\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":39,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tce.2024.3376561","relation":{},"ISSN":["0098-3063","1558-4127"],"issn-type":[{"value":"0098-3063","type":"print"},{"value":"1558-4127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}