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Fengyu Gao I'm a third-year PhD student in the Department of Computer Science at the University of Virginia, advised by Prof. Jing Yang. Previously, I received my Bachelor's degree in Computer Science and Technology from University of Science and Technology of China (USTC) in 2022. |
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ResearchI'm interested in privacy-preserving machine learning and large language models (LLMs). (* indicates equal contribution) Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao*, Ruida Zhou*, Tianhao Wang, Cong Shen, Jing Yang ICLR 2025 [Code] We generate differentially private synthetic few-shot examples for in-context learning by leveraging data clustering patterns. Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups Fengyu Gao, Ruiquan Huang, Jing Yang NeurIPS 2024 We study differentially private federated online prediction from experts, achieving regret speed-up under stochastic and special oblivious adversaries, with lower bounds showing fundamental limits. Federated Q-Learning: Linear Regret Speedup with Low Communication Cost Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang ICLR 2024 We study model-free federated Q-learning for tabular MDPs, achieving linear regret speed-up with logarithmic communication cost. |
MiscellaneaReviewer: ICLR 2025 Teaching Assistant: Algebraic Structure, Spring 2021, USTC; Analog and Digital Circuits, Fall 2020, USTC |
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Thank Dr. Jon Barron for sharing the source code of his homepage. |