AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SPADE-DFL is developed, a primal--dual method that allows the number of local function-value updates between neighbor exchanges to grow with the computation budget while preserving the nonprivate convergence order.
STHMoE decouples traffic dynamics into frequency-domain, time-domain, spatio-domain, spatio-domain, and higher-order spatial representations, which are modeled by prompt-guided heterogeneous experts built upon a partially frozen LLM backbone.
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