# Is Split Learning Privacy-Preserving for Fine-Tuning Large Language Models?
> This work analyzes whether split learning actually preserves privacy when fine-tuning large language models, identifying privacy vulnerabilities and mitigation directions for foundation model training systems.
Type: paper
Venue: IEEE Transactions on Big Data 2024
Date: 2024
Authors: Dixi Yao, Baochun Li
## Direct Links
- [Canonical topic page](https://dixiyao.github.io/topics/split-learning-llm-privacy/)
- [Paper](https://ieeexplore.ieee.org/abstract/document/10818584)
- [PDF](https://dixiyao.github.io/assests/papers/tbd-24.pdf)
- [Code](https://github.com/TL-System/plato/tree/main/examples/split_learning/llm_split_learning)
## Search Queries and Aliases
- split learning LLM
- LLM fine-tuning privacy
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- large language model split learning
## Search Intents
- is split learning privacy preserving for LLM fine tuning
- split learning LLM privacy code
- foundation model split learning privacy