A Variational Approach to Personalized Federated Learning and Its Improvement. - Wu, Huiwen; Zhang, Shuo (2024)

Fast and Robust Differential Private Stochastic Gradient Descent with Preconditioner. - Wu, Huiwen (2024)

FedScale: A Federated Unlearning Method Mimicking Human Forgetting Processes. - Huang, Wenshu; Wu, Huiwen; Fang, Liming; Zhou, Lu (2024)

On the Relative Completeness of Satisfaction-based Quantum Hoare Logic. - Sun, Xin; Su, Xingchi; Bian, Xiaoning; Wu, Huiwen (CoRR, 2024)

CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models. - Wu, Huiwen; Li, Xiaohan; Zhang, Deyi; Xu, Xiaogang; Wu, Jiafei; Zhao, Puning; Liu, Zhe (CoRR, 2024)

Enhancing Learning with Label Differential Privacy by Vector Approximation. - Zhao, Puning; Fan, Rongfei; Wu, Huiwen; Li, Qingming; Wu, Jiafei; Liu, Zhe (CoRR, 2024)

Learning with User-Level Local Differential Privacy. - Zhao, Puning; Shen, Li; Fan, Rongfei; Li, Qingming; Wu, Huiwen; Wu, Jiafei; Liu, Zhe (CoRR, 2024)

Contextual Bandits for Unbounded Context Distributions. - Zhao, Puning; Wu, Jiafei; Liu, Zhe; Wu, Huiwen (CoRR, 2024)

Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning. - Wu, Huiwen; Li, Xiaohan; Xu, Xiaogang; Wu, Jiafei; Zhang, Deyi; Liu, Zhe (CoRR, 2024)

DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. - Wu, Huiwen; Zhang, Deyi; Li, Xiaohan; Xu, Xiaogang; Wu, Jiafei; Liu, Zhe (CoRR, 2024)

Powerful Encoding and Decoding Computation of Reservoir Computing. - Li, Weian; Wu, Huiwen; Yang, Dongping (2023)

Automatic Microservice Orchestration and Deployment Method Based On the Modular Type Package for Industrial Edge Applications. - Kang, Jiale; Wu, Xiao; Wu, Huiwen; Yang, Dali; Dai, Wenbin (2023)

Automatic Code Generation for Modular Discrete Manufacturing Systems based on ISA 88 and Module Type Package. - Wu, Huiwen; Zhang, Yingyue; Dai, Wenbin (2022)

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. - Chen, Chaochao; Zhou, Jun; Zheng, Longfei; Wu, Huiwen; Lyu, Lingjuan; Wu, Jia; Wu, Bingzhe; Liu, Ziqi; Wang, Li; Zheng, Xiaolin (2022)

Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. - Chen, Chaochao; Wu, Huiwen; Su, Jiajie; Lyu, Lingjuan; Zheng, Xiaolin; Wang, Li (2022)

Integrated routing for a vehicle-robot pickup and delivery system with time constraints. - Li, Yongjian; Chen, Yan; Guo, Gaicong; Wu, Huiwen; Yuan, Zhao (CoRR, 2022)

Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. - Chen, Chaochao; Wu, Huiwen; Su, Jiajie; Lyu, Lingjuan; Zheng, Xiaolin; Wang, Li (CoRR, 2022)

Randomized Fast Subspace Descent Methods. - Chen, Long; Hu, Xiaozhe; Wu, Huiwen (CoRR, 2020)

A Theoretical Perspective on Differentially Private Federated Multi-task Learning. - Wu, Huiwen; Chen, Cen; Wang, Li (CoRR, 2020)

Beam Search Assisted User Scheduling for mmWave Hybrid Beamforming Systems. - Chen, Yu; Wu, Huiwen; Liu, Danpu (2019)

Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification. - Wu, Huiwen; Gunopulos, Dimitrios (2002)