AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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RSI-Master consists of an Experiment OS, which enables regularized experimental actions and maintains persistent, traceable experimental records, and Reviewer-Guided Research Orchestration, which organizes Workers and Reviewers in a dynamically growing research DAG.
This paper formalizes two specification-induced risks in the learnware paradigm and shows that the resulting DP guarantees control both disclosure risk and amplification risk, and analyzes the induced privacy–utility trade-off to guide effective learn-ware identification while preserving privacy.
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