{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T21:31:34Z","timestamp":1784842294888,"version":"3.55.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11228388","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Improving Krum\u2019s Byzantine Resilience in Federated Learning via layerwise aggregation"],"prefix":"10.1109","author":[{"given":"Mario","family":"Garc\u00eda-M\u00e1rquez","sequence":"first","affiliation":[{"name":"University of Granada,Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI),Department of Computer Science and Artificial Intelligence,Granada,Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nuria","family":"Rodr\u00edguez-Barroso","sequence":"additional","affiliation":[{"name":"University of Granada,Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI),Department of Computer Science and Artificial Intelligence,Granada,Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. Victoria","family":"Luz\u00f3n","sequence":"additional","affiliation":[{"name":"University of Granada,Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI),Department of Software Engineering,Granada,Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco","family":"Herrera","sequence":"additional","affiliation":[{"name":"University of Granada,Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI),Department of Computer Science and Artificial Intelligence,Granada,Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Regulation of the european parliament and of the council laying down harmonised rules on artificial intelligence (artificial intelligence act) and amending certain union legislative acts","year":"2021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s12525-020-00441-4"},{"key":"ref3","article-title":"Regulation (EU) 2016\/679 of the European Parliament and of the Council"},{"key":"ref4","first-page":"1273","article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","volume-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics","volume":"54","author":"McMahan"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2024.124215"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.09.011"},{"key":"ref7","first-page":"118","article-title":"Machine learning with adversaries: byzantine tolerant gradient descent","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","author":"Blanchard"},{"key":"ref8","author":"Baruch","year":"2019","journal-title":"A little is enough: circumventing defenses for distributed learning"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS54860.2022.00120"},{"key":"ref10","first-page":"3521","article-title":"The hidden vulnerability of distributed learning in Byzantium","volume-title":"Proceedings of the 35th International Conference on Machine Learning","volume":"80","author":"El Mhamdi"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.iotcps.2023.04.001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/357172.357176"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom56396.2022.00030"},{"key":"ref14","first-page":"2938","article-title":"How to backdoor federated learning","volume-title":"Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics","volume":"108","author":"Bagdasaryan"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9780511569920.003"},{"key":"ref16","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1708.07747"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966217"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref21","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proceedings of the 36th International Conference on Machine Learning","volume":"97","author":"Tan"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102792"},{"key":"ref23","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"Paszke","year":"2019"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","location":"Rome, Italy","start":{"date-parts":[[2025,6,30]]},"end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11228388.pdf?arnumber=11228388","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:49:34Z","timestamp":1763192974000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11228388\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11228388","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}