A barrier-enforced multi-objective optimization framework for neural networks generates sharp non-crossing prediction intervals that meet exact target coverage in probabilistic forecasting.
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Multi-agent AI creates an authorization propagation problem not solved by prompt injection defenses or classical access control, requiring identity governance as continuously enforced infrastructure.
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Barrier-enforced multi-objective optimization for direct point and sharp interval forecasting
A barrier-enforced multi-objective optimization framework for neural networks generates sharp non-crossing prediction intervals that meet exact target coverage in probabilistic forecasting.
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Authorization Propagation in Multi-Agent AI Systems: Identity Governance as Infrastructure
Multi-agent AI creates an authorization propagation problem not solved by prompt injection defenses or classical access control, requiring identity governance as continuously enforced infrastructure.