Research testbed for federated learning with hybrid quantum-classical models and post-quantum protection (ML-KEM, ML-DSA, secure aggregation). Reproducible results: a 4-qubit VQC head vs a matched classical head, robust aggregation vs poisoning, PQC cost per round. PennyLane, PyTorch, Flower, FastAPI.
☆33Oct 16, 2026Updated last week
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