A system, apparatus, and method may include receiving edge device data, training a remote artificial intelligence (AI) model using the edge device data, and storing resulting remote AI model parameters in a ledger-based data structure. The ledger may also store device health data indicative of electronic device health of one or more edge devices. A ledger node may store a shared ledger. The shared ledger may use blockchain or encryption techniques and may store encrypted data, data pointers, or transfer data. The shared ledger may be accessible by at least two parties to share particular device health data.