Each unit learns from the whole fleet without centralizing raw data.
The AI-Native S.M.A.R.T. Generator Master Blueprint — eight layers (L0→L7), one control stack, wired to both machines. Telemetry rises in microseconds; control descends the same path.
Category: D · trust & scale · Plugs into: L0 / L7 · Horizon: NOAK · Status: on the roadmap — not yet built
What it is
As the fleet grows, every unit should benefit from what every other unit has seen — without shipping raw operational data off-site, for privacy and security.
The method
Federated learning: units train locally and share only model updates, aggregated into a fleet model that is redistributed. Plugs into L0 (training) and L7 (the fleet).
Why it matters
It compounds learning across the fleet while keeping each site's raw data local — a security and privacy property as much as a performance one.