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ML examples: - credit_scoring: Credit risk prediction with HMEQ data - disease_prediction: Healthcare ML on encrypted records - cifar: Encrypted image classification - federated_learning: Distributed FHE training - hybrid_model: Mixed FHE/plaintext inference Deployment: - breast_cancer: Cancer detection API - sentiment_analysis: Encrypted NLP - server: FHE inference server Blockchain: - hardhat-template: Solidity + FHE - react-template: Full dApp with FHE
10 lines
206 B
Makefile
10 lines
206 B
Makefile
run_example: run_sh load_to_cml
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run_sh:
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@echo "Running federated learning training script..."
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@./run.sh
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load_to_cml:
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@echo "Loading and compiling the model with Concrete ML..."
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@python load_to_cml.py
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