{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T16:18:05Z","timestamp":1774023485353,"version":"3.50.1"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"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":[[2024,12,8]]},"DOI":"10.1109\/globecom52923.2024.10901544","type":"proceedings-article","created":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T17:30:35Z","timestamp":1741714235000},"page":"1737-1742","source":"Crossref","is-referenced-by-count":3,"title":["Multi-Model based Federated Learning Against Model Poisoning Attack: A Deep Learning Based Model Selection for MEC Systems"],"prefix":"10.1109","author":[{"given":"Somayeh","family":"Kianpisheh","sequence":"first","affiliation":[{"name":"University of Oulu,Centre for Wireless Communications,Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chafika","family":"Benza\u00efd","sequence":"additional","affiliation":[{"name":"University of Oulu,Centre for Wireless Communications,Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tarik","family":"Taleb","sequence":"additional","affiliation":[{"name":"Ruhr University,Bochum,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial intelligence and statistics"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3168556"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2024.3387987"},{"key":"ref4","first-page":"3521","article-title":"The hidden vulnerability of distributed learning in byzantium","author":"El Mahdi","year":"2018","journal-title":"International Conf. on Machine Learning"},{"key":"ref5","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"International Conf. on Machine Learning","author":"Yin"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685499"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041404"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3330144"},{"key":"ref9","article-title":"Justinian\u2019s gaavernor: Robust distributed learning with gradient aggregation agent","volume-title":"USENIX Security Symp","author":"Pan"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685082"},{"key":"ref11","article-title":"A little is enough: Circumventing defenses for distributed learning","volume":"32","author":"Baruch","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3017668"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2023.3244243"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3088938"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CCST.2019.8888419"},{"key":"ref17","volume-title":"Sumo"}],"event":{"name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","location":"Cape Town, South Africa","start":{"date-parts":[[2024,12,8]]},"end":{"date-parts":[[2024,12,12]]}},"container-title":["GLOBECOM 2024 - 2024 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10900933\/10900934\/10901544.pdf?arnumber=10901544","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T05:23:56Z","timestamp":1741757036000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10901544\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,8]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/globecom52923.2024.10901544","relation":{},"subject":[],"published":{"date-parts":[[2024,12,8]]}}}