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Model + Dataset -> FHECircuit
Compile a machine learning model into an FHE-compatible execution circuit using representative calibration data to map float operations into discrete integer gates.
Problem it solves
Standard ML layers operate on continuous floats, which must be converted to cryptographically valid integer-based DAGs for homomorphic evaluation.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.