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Secure Distributed Training for LLMs by xirongz is a document available to read on EtoBox.

What is Secure Distributed Training for LLMs about?

The document presents a secure distributed training framework for large language models (LLM) that utilizes model slicing and Trusted Execution Environments (TEE) to protect against data and parameter theft. It introduces a split fine-tuning strategy to enhance model performance while ensuring security through lightweight encryption methods. Experimental results demonstrate that the proposed methods maintain high accuracy and efficiency in a federated learning context.

Author

xirongz

Language

EN