AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A lightweight, system-wide global termination detection algorithm that enables vertices to decide locally when the overall system has converged, and emphasises the need for coordinated halting in distributed centrality computation.
Operator-theoretic generalization bounds for deep multi-output function classes are developed by representing network layers as Koopman composition operators on vector-valued reproducing kernel Hilbert spaces and derive Rademacher complexity bounds for invertible and width-expanding injective architectures.
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