{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T11:11:09Z","timestamp":1778325069845,"version":"3.51.4"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3629864","type":"journal-article","created":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T18:54:28Z","timestamp":1762455268000},"page":"190947-190963","source":"Crossref","is-referenced-by-count":4,"title":["Byzantine-Robust Aggregation for Securing Decentralized Federated Learning"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1110-2099","authenticated-orcid":false,"given":"Diego","family":"Cajaraville-Aboy","sequence":"first","affiliation":[{"name":"atlanTTic, Information and Computing Lab, Escola de Enxeñaría de Telecomunicación, Universidade de Vigo, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1047-2143","authenticated-orcid":false,"given":"Ana","family":"Fern\u00e1ndez-Vilas","sequence":"additional","affiliation":[{"name":"atlanTTic, Information and Computing Lab, Escola de Enxeñaría de Telecomunicación, Universidade de Vigo, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2367-2219","authenticated-orcid":false,"given":"Rebeca P.","family":"D\u00edaz-Redondo","sequence":"additional","affiliation":[{"name":"atlanTTic, Information and Computing Lab, Escola de Enxeñaría de Telecomunicación, Universidade de Vigo, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5088-0881","authenticated-orcid":false,"given":"Manuel","family":"Fern\u00e1ndez-Veiga","sequence":"additional","affiliation":[{"name":"atlanTTic, Information and Computing Lab, Escola de Enxeñaría de Telecomunicación, Universidade de Vigo, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"A survey on privacy and security of Internet of Things","volume":"38","author":"Ogonji","year":"2021","journal-title":"Comput. Sci. Rev."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-021-00218-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813687"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3436755"},{"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. (AISTATS)","author":"McMahan"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref7","article-title":"A hybrid approach to privacy-preserving federated learning","author":"Truex","year":"2018","journal-title":"arXiv:1812.03224"},{"key":"ref8","article-title":"Decentralized federated learning: A survey and perspective","author":"Yuan","year":"2023","journal-title":"arXiv:2306.01603"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3178655"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_1"},{"key":"ref11","article-title":"Local model poisoning attacks to Byzantine-robust federated learning","author":"Fang","year":"2019","journal-title":"arXiv:1911.11815"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2008.2007335"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2023.3290470"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1016\/j.future.2020.10.007","article-title":"A survey on security and privacy of federated learning","volume":"115","author":"Mothukuri","year":"2020","journal-title":"Future Gener. Comput. Syst."},{"key":"ref15","article-title":"Byzantine-tolerant machine learning","author":"Blanchard","year":"2017","journal-title":"arXiv:1703.02757"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3153135"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICPADS53394.2021.00052"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref19","article-title":"COLA: Decentralized linear learning","author":"He","year":"2018","journal-title":"arXiv:1808.04883"},{"key":"ref20","article-title":"Inverting gradients\u2014How easy is it to break privacy in federated learning?","author":"Geiping","year":"2020","journal-title":"arXiv:2003.14053"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2023.3315746"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.2858"},{"key":"ref23","first-page":"92","article-title":"Decentralized federated learning-solutions based on gossip protocol and blockchain","volume-title":"Proc. 20th SC@ RUG","author":"Prabhakar"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/iccta58027.2022.10206255"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2021.3072611"},{"key":"ref26","article-title":"Improving the model consistency of decentralized federated learning","author":"Shi","year":"2023","journal-title":"arXiv:2302.04083"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-022-1338-z"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3192297"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ipdpsw50202.2020.00144"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3269980"},{"key":"ref31","article-title":"Attack of the tails: Yes, you really can backdoor federated learning","author":"Wang","year":"2020","journal-title":"arXiv:2007.05084"},{"key":"ref32","article-title":"Challenges and approaches for mitigating Byzantine attacks in federated learning","author":"Shi","year":"2021","journal-title":"arXiv:2112.14468"},{"key":"ref33","article-title":"DETOX: A redundancy-based framework for faster and more robust gradient aggregation","author":"Rajput","year":"2019","journal-title":"arXiv:1907.12205"},{"key":"ref34","first-page":"840","article-title":"Sageflow: Robust federated learning against both stragglers and adversaries","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Park"},{"key":"ref35","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","author":"Yin","year":"2018","journal-title":"arXiv:1803.01498"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/icassp40776.2020.9054676"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/tbdata.2023.3237397"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-industry.60"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24434"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3472883.3486990"},{"key":"ref41","volume-title":"Introduction to Time Series Analysis and Forecasting (Wiley Series in Probability and Statistics)","author":"Montgomery","year":"2011"},{"key":"ref42","volume-title":"The Mnist Database of Handwritten Digits","author":"Yann LeCun","year":"2010"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11230563.pdf?arnumber=11230563","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:50:54Z","timestamp":1763146254000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11230563\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3629864","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}