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An Open-Source End-to-End FHE Implementation for Privacy-Preserving Llama 3 8B Inference
Cloud LLM services typically require users to send prompts to a model provider, creating a privacy risk. Fully homomorphic encryption (FHE) lets a server perform inference without decrypting the input, but representing data as ciphertexts adds storage and computational overhead. In CKKS-based LLM in
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