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Securing consensus in fractional-order multi-agent systems: Algebraic approaches against Byzantine attacks. [PDF]

Heliyon
Zhong Y, Khan A, Javeed MA, Raza H, Hassan WU, Niazi AUK, Mehmood MU.   +6 more
europepmc   +1 more source

Muslims and Byzantines in Byzantine Hagiography

Muslims and Byzantines in Byzantine Hagiography
openaire  

Prêt byzantin

, 1988
Worp, K.A., Gascou, J.
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Resilient Consensus Control of Heterogeneous Multi-UAV Systems With Leader of Unknown Input Against Byzantine Attacks

IEEE Transactions on Automation Science and Engineering
This paper addresses the consensus control problem of heterogeneous multi-UAV systems against Byzantine attacks. A drone compromised by Byzantine attacks transmits erroneous values to its neighbors while applying wrong input signals for itself, which is ...
Yukang Cui, Qianyue Luo
exaly   +2 more sources

Privacy-Preserving Byzantine-Robust Federated Learning via Blockchain Systems

IEEE Transactions on Information Forensics and Security, 2022
Federated learning enables clients to train a machine learning model jointly without sharing their local data. However, due to the centrality of federated learning framework and the untrustworthiness of clients, traditional federated learning solutions ...
Yinbin Miao, Ziteng Liu, Hongwei Li, K. Choo, R. Deng   +4 more
semanticscholar   +1 more source

Resilient Output Formation-Tracking of Heterogeneous Multiagent Systems Against General Byzantine Attacks: A Twin-Layer Approach

IEEE Transactions on Cybernetics, 2023
This work solves the countermeasure design problems of distributed resilient output time-varying formation-tracking (TVFT) of heterogeneous multiagent systems (MASs) against general Byzantine attacks (GBAs).
Xin Gong, Xiuxian Li, Zhan Shu, Zhiguang Feng   +3 more
semanticscholar   +1 more source

Good-case Latency of Byzantine Broadcast: a Complete Categorization

ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing, 2021
This paper explores the good-case latency of Byzantine fault-tolerant broadcast, motivated by the real-world latency and performance of practical state machine replication protocols.
Ittai Abraham, Kartik Nayak, Ling Ren, Zhuolun Xiang   +3 more
semanticscholar   +1 more source

Differentially Private Byzantine-robust Federated Learning

IEEE Transactions on Parallel and Distributed Systems, 2022
Federated learning is a collaborative machine learning framework where a global model is trained by different organizations under the privacy restrictions.
Xu Ma, Xiaoqiang Sun, Yuduo Wu, Zheli Liu, Xiaofeng Chen, Changyu Dong   +5 more
semanticscholar   +1 more source