PPPQ-ANN is a hybrid FHE+TEE framework with product quantization that generates databases in under 2 hours and delivers over 50 QPS on million-scale datasets while preserving privacy.
Towards a practical cluster analysis over encrypted data,
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Privacy-Preserving Product-Quantized Approximate Nearest Neighbor Search Framework for Large-scale Datasets via A Hybrid of Fully Homomorphic Encryption and Trusted Execution Environment
PPPQ-ANN is a hybrid FHE+TEE framework with product quantization that generates databases in under 2 hours and delivers over 50 QPS on million-scale datasets while preserving privacy.