Defending against Byzantine attacks by trust-based weighting of agents

Autores: Molodtsov G.L.¹, Medyakov D.O.², Skorik S.N.², Khachaturov N.³, Tigranyan S.T.⁴, Aletov V.I.², Avetisyan A.A.², Takáč M.⁵, Beznosikov A.N.¹
Afiliações:
1. Innopolis University
3. Russian-Armenian University, Yerevan, Armenia
4. Institute for Informatics and Automation Problems of National Academy of Science of the Republic of Armenia
5. Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
Edição: Volume 80, Nº 6 (2025)
Páginas: 191-194
Seção: МАТЕМАТИЧЕСКИЕ АСПЕКТЫ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА
URL: https://ogarev-online.ru/0042-1316/article/view/358709
DOI: https://doi.org/10.4213/rm10272
ID: 358709

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Somente assinantes

Innopolis University

Russian-Armenian University, Yerevan, Armenia

Institute for Informatics and Automation Problems of National Academy of Science of the Republic of Armenia

Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE

Innopolis University

Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong, ISOC network and distributed system security (NDSS) symposium (2021, virtual), 2021, 18 pp.
S. P. Karimireddy, Lie He, M. Jaggi, Proceedings of the 38th international conference on machine learning (ICML 2021), Proc. Mach. Learn. Res. (PMLR), 139, 2021, 5311–5319
G. Molodtsov, D. Medyakov, S. Skorik, N. Khachaturov, Sh. Tigranyan, V. Aletov, A. Avetisyan, M. Takač, A. Beznosikov, Trial and trust: Addressing Byzantine attacks with comprehensive defense strategy, 2025, 63 pp.
Cong Xie, S. Koyejo, I. Gupta, Proceedings of the 36th international conference on machine learning, Proc. Mach. Learn. Res. (PMLR), 97, 2019, 6893–6901

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