PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence
Published in INFOCOM 2026, 2026
PPAI studies personalized LLM agents in dynamic P2P edge networks and proposes a scalable query-agent pairing mechanism that adapts to heterogeneous local resources. It improves response quality and load balance while preserving low-latency interaction.
Recommended citation: Zile Wang, Qianli Liu, Kaibin Guo, Haodong Wang, Jian Lin, Zicong Hong, and Song Guo. (2026). PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence. INFOCOM 2026.
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