most citedEnabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach

12 citations · 41 across the 15 of their papers we have counts for

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cs.CR2023★ 3 cited

Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing

Jinglong Luo, Yehong Zhang, Jiaqi Zhang +4

Gaussian process regression (GPR) is a non-parametric model that has been used in many real-world applications that involve sensitive personal data (e.g., healthcare, finance, etc.…

cs.CR2022★ 1 cited

Encoded Gradients Aggregation against Gradient Leakage in Federated Learning

Dun Zeng, Shiyu Liu, Siqi Liang +4

Federated learning enables isolated clients to train a shared model collaboratively by aggregating the locally-computed gradient updates. However, privacy information could be leak…