Puning Zhao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Top Venues

IEEE Trans. Inf. Theory

Publications

Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. CoRR (2024)
Puning Zhao, Fei Yu, Zhiguo Wan
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. AAAI (2024)
Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen Wu, Jiafei Wu, Zhe Liu
Learning with User-Level Local Differential Privacy. CoRR (2024)
Puning Zhao, Jintao Deng, Xu Cheng
Soft Label PU Learning. CoRR (2024)
Qingming Li, Juzheng Miao, Puning Zhao, Li Zhou, Shouling Ji, Bowen Zhou, Furui Liu
Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning. CoRR (2024)
Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu, Jiafei Wu, Puning Zhao, Zhe Liu
CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models. CoRR (2024)
Puning Zhao, Zhiguo Wan
Robust Nonparametric Regression under Poisoning Attack. AAAI (2024)
Nan Che, Weihua Chen, Puning Zhao, Fei Yu, Zhijun Li, Xing Gao, Yuandi Li, Xiaogang Cui, Jie Cheng
OS-Level PMC-Based Runtime Thermal Control for ARM Mobile CPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (7) (2024)
Puning Zhao, Rongfei Fan, Huiwen Wu, Qingming Li, Jiafei Wu, Zhe Liu
Enhancing Learning with Label Differential Privacy by Vector Approximation. CoRR (2024)
Puning Zhao, Lifeng Lai
Minimax Optimal Q Learning with Nearest Neighbors. CoRR (2023)
Puning Zhao, Lifeng Lai
Entropy Rate Estimation for Markov Chains with Continuous Distributions. ISIT (2023)
Puning Zhao, Zhiguo Wan
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers. CoRR (2023)
Puning Zhao, Fei Yu, Zhiguo Wan
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. CoRR (2023)
Puning Zhao, Zhiguo Wan
Robust Nonparametric Regression under Poisoning Attack. CoRR (2023)
Puning Zhao, Lifeng Lai
Analysis of KNN Density Estimation. IEEE Trans. Inf. Theory 68 (12) (2022)
Puning Zhao, Lifeng Lai
Optimal Stochastic Nonconvex Optimization with Bandit Feedback. CoRR (2021)
Puning Zhao, Lifeng Lai
On the Convergence Rates of KNN Density Estimation. ISIT (2021)
Puning Zhao, Lifeng Lai
Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression. IEEE Trans. Inf. Theory 67 (5) (2021)
Puning Zhao, Lifeng Lai
Efficient Classification with Adaptive KNN. AAAI (2021)
Puning Zhao, Lifeng Lai
Analysis of K Nearest Neighbor KL Divergence Estimation for Continuous Distributions. ISIT (2020)
Puning Zhao, Lifeng Lai
Analysis of KNN Density Estimation. CoRR (2020)
Puning Zhao, Lifeng Lai
Analysis of KNN Information Estimators for Smooth Distributions. IEEE Trans. Inf. Theory 66 (6) (2020)
Puning Zhao, Lifeng Lai
Minimax Optimal Estimation of KL Divergence for Continuous Distributions. CoRR (2020)
Puning Zhao, Lifeng Lai
Minimax Optimal Estimation of KL Divergence for Continuous Distributions. IEEE Trans. Inf. Theory 66 (12) (2020)
Puning Zhao, Lifeng Lai
Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression. CoRR (2019)
Puning Zhao, Lifeng Lai
Minimax Regression via Adaptive Nearest Neighbor. ISIT (2019)
Puning Zhao, Lifeng Lai
Nonparametric Direct Entropy Difference Estimation. ITW (2018)
Puning Zhao, Lifeng Lai
Analysis of KNN Information Estimators for Smooth Distributions. Allerton (2018)
Puning Zhao, Lifeng Lai
Analysis of KNN Information Estimators for Smooth Distributions. CoRR (2018)
Puning Zhao, Zhiwei Xiong, Dong Liu, Hao Wang, Chaoyu Yang, Lufeng Ding, Weiping Ding, Zheng-Jun Zha, Guoqiang Bi, Feng Wu
Progressive tone mapping of brain images at single-neuron resolution. GlobalSIP (2017)