Raspberry Pi 5 study maps trust frameworks for offline generative AI at the edge
securagenai · hf · 2026-10-27
securagenai presents a trust-mechanism study for offline generative AI at the edge, proposing a C0–C4 connectivity-regime framework (cloud-connected → edge-assisted → offline-capable periodic sync → disconnected controlled updates → air-gapped), analyzing knowledge distribution, freshness constraints, dominant threats, and governance emphasis per regime.
The empirical study on a Raspberry Pi 5 tests local RAG with signed knowledge packs and output validators: efficiency and integrity improve, but two fundamental gaps remain — update channels can be poisoned, and evidence truth cannot be technically guaranteed. Artifact provenance and signing roots emerge as key defenses in disconnected settings.
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