Lattice-Based Standardized Cross-Chain Payment Protocol for Post-Quantum IoT Ecosystems
Bingsheng Zhang, Guijuan Wang, Yubing Han et al.
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AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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FedDAB, a two-phase method that combines local contrastive regularization with alignment checking, to defend against backdoor attacks, is proposed and theoretically proves FedDAB's robustness with a convergence rate of $\mathcal{O}(1/T)$.
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