The paper introduces an information-theoretic emergent communication framework for multi-agent task-solving in networking, deriving generalization bounds and validating on a hardware prototype.
SANet: A semantic-aware agentic AI networking framework for cross- layer optimization in 6G
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Generalization Bounds of Emergent Communications for Agentic AI Networking
The paper introduces an information-theoretic emergent communication framework for multi-agent task-solving in networking, deriving generalization bounds and validating on a hardware prototype.