AI RESEARCH
PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
arXiv CS.LG
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ArXi:2605.08646v1 Announce Type: new Large language model (LLM) agents face a structural tension: cloud agents provide strong reasoning but expose user data, while on-device agents preserve privacy at the cost of overall capability. Existing device-cloud designs treat this boundary as a compute split rather than a trust boundary suited to agentic workloads, and existing sanitizers force a choice between policy flexibility and the structural fidelity tool calls require.