Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes. [PDF]
T S, Devadas RM.
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A natural deduction system for the Byzantine Generals Oral Messages algorithm. [PDF]
Volpano DM.
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On the Optimal File Size of Capacity-Achieving Byzantine-Resistant Private Information Retrieval Schemes. [PDF]
Kruglik S, Kiah HM, Dau SH, Wang H.
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Quantum-Resilient Federated Learning for Multi-Layer Cyber Anomaly Detection in UAV Systems. [PDF]
Şahin CB.
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Robust Learning-Based Detection with Cost Control and Byzantine Mitigation. [PDF]
Zhong C, Gursoy MC, Velipasalar S.
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Robust and Lightweight Federated Learning for NB-IoT Security: A Blockchain-Verified CNN-RNN Approach. [PDF]
Özmen G, Yiltas-Kaplan D.
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Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation. [PDF]
Chen Z, Li R, Xu Y.
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A robust and verifiable federated learning framework for preventing data poisonous threats in e-health. [PDF]
Alruwaili E, Moulahi T.
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