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Peihan Liu

1 accepted papers

2026

Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data

ICML 2026poster

Research on differentially private synthetic tabular data has largely focused on independent and identically distributed rows where each record corresponds to a unique individual. This perspective neglects the temporal complexity in longitudinal datasets, such as electronic health records, where a u…

Cited by 0SourceScholar