PPAI proposes prototype-based query-agent scoring and a multi-agent Bayesian game for P2P interoperability among personalized LLM agents on edge devices, claiming up to 7.96% accuracy gain and 16.34% latency reduction.
Klotski: Efficient mixture-of-expert inference via expert- aware multi-batch pipeline
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PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence
PPAI proposes prototype-based query-agent scoring and a multi-agent Bayesian game for P2P interoperability among personalized LLM agents on edge devices, claiming up to 7.96% accuracy gain and 16.34% latency reduction.