MAPLE: Metadata Augmented Private Language Evolution

ArXi:2603.19258v1 Announce Type: cross While differentially private (DP) fine-tuning of large language models (LLMs) is a powerful tool, it is often computationally prohibitive or infeasible when state-of-the-art models are only accessible via