Guangfeng Yan

According to our database, Guangfeng Yan authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning.

Guangfeng Yan, Tan Li, Kui Wu, Linqi Song

IEEE J. Sel. Areas Commun., July, 2025

2024

Optimal selection of key parameters for homomorphic filtering based on information entropy.

Zhantao Yang, Yangtenglong Li, Xuan Bai, Guangfeng Yan, Qi Sun, Cong Fu

Multim. Tools Appl., July, 2024

Adaptive Top-K in SGD for Communication-Efficient Distributed Learning in Multi-Robot Collaboration.

Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao, Linqi Song, Weitao Xu

IEEE J. Sel. Top. Signal Process., April, 2024

Killing two birds with one stone: Quantization achieves privacy in distributed learning.

Guangfeng Yan, Tan Li, Kui Wu, Linqi Song

Digit. Signal Process., 2024

Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning.

Guangfeng Yan, Tan Li, Yuanzhang Xiao, Hanxu Hou, Linqi Song

CoRR, 2024

Truncated Non-Uniform Quantization for Distributed SGD.

Guangfeng Yan, Tan Li, Yuanzhang Xiao, Congduan Li, Linqi Song

CoRR, 2024

Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients.

Guangfeng Yan, Shanxiang Lyu, Hanxu Hou, Zhiyong Zheng, Linqi Song

CoRR, 2024

Truncated Non-Uniform Quantization for Distributed SGD.

Guangfeng Yan, Tan Li, Yuanzhang Xiao, Hanxu Hou, Congduan Li, Linqi Song

Proceedings of the IEEE Information Theory Workshop, 2024

Towards Quantum-Safe Distributed Learning via Homomorphic Encryption: Learning with Gradients.

Guangfeng Yan, Shanxiang Lyu, Hanxu Hou, Zhiyong Zheng, Linqi Song

Proceedings of the IEEE Information Theory Workshop, 2024

2023

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning.

Guangfeng Yan, Tan Li, Tian Lan, Kui Wu, Linqi Song

CoRR, 2023

Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data.

Jian Xu, Guangfeng Yan, Ziyan Zheng, Shao-Lun Huang

Proceedings of the International Conference on Machine Learning and Applications, 2023

Adaptive Top- K in SGD for Communication-Efficient Distributed Learning.

Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao, Linqi Song, Weitao Xu

Proceedings of the IEEE Global Communications Conference, 2023

2022

Communication-Efficient Federated Learning with Adaptive Quantization.

Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding

ACM Trans. Intell. Syst. Technol., 2022

AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning.

Guangfeng Yan, Tan Li, Shao-Lun Huang, Tian Lan, Linqi Song

IEEE J. Sel. Areas Commun., 2022

2021

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning.

Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song

CoRR, 2021

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning.

Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

2020

Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification.

Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y. S. Lam

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020