A client-server protocol uses homomorphic encryption to fine-tune a 1B-parameter LLM with LoRA while keeping training data, activations, and the learned adapter weights hidden from the server.
In: Applied Cryptography and Network Security: 17th International Conference, ACNS 2019, Bogota, Colombia, June 5–7
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Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption
A client-server protocol uses homomorphic encryption to fine-tune a 1B-parameter LLM with LoRA while keeping training data, activations, and the learned adapter weights hidden from the server.