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Guangfeng Yan
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2020 – today
- 2024
- [j5]Guangfeng Yan, Tan Li, Kui Wu, Linqi Song:
Killing two birds with one stone: Quantization achieves privacy in distributed learning. Digit. Signal Process. 146: 104353 (2024) - [j4]Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao, Linqi Song, Weitao Xu:
Adaptive Top-K in SGD for Communication-Efficient Distributed Learning in Multi-Robot Collaboration. IEEE J. Sel. Top. Signal Process. 18(3): 487-501 (2024) - [j3]Zhantao Yang, Yangtenglong Li, Xuan Bai, Guangfeng Yan, Qi Sun, Cong Fu:
Optimal selection of key parameters for homomorphic filtering based on information entropy. Multim. Tools Appl. 83(25): 65929-65948 (2024) - [i8]Guangfeng Yan, Shanxiang Lyu, Hanxu Hou, Zhiyong Zheng, Linqi Song:
Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients. CoRR abs/2402.01154 (2024) - [i7]Guangfeng Yan, Tan Li, Yuanzhang Xiao, Congduan Li, Linqi Song:
Truncated Non-Uniform Quantization for Distributed SGD. CoRR abs/2402.01160 (2024) - [i6]Guangfeng Yan, Tan Li, Yuanzhang Xiao, Hanxu Hou, Linqi Song:
Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning. CoRR abs/2402.01798 (2024) - 2023
- [c4]Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao, Linqi Song, Weitao Xu:
Adaptive Top- K in SGD for Communication-Efficient Distributed Learning. GLOBECOM 2023: 5280-5285 - [c3]Jian Xu, Guangfeng Yan, Ziyan Zheng, Shao-Lun Huang:
Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. ICMLA 2023: 738-743 - [i5]Guangfeng Yan, Tan Li, Kui Wu, Linqi Song:
Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning. CoRR abs/2304.13545 (2023) - [i4]Guangfeng Yan, Tan Li, Tian Lan, Kui Wu, Linqi Song:
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. CoRR abs/2312.07060 (2023) - 2022
- [j2]Guangfeng Yan, Tan Li, Shao-Lun Huang, Tian Lan, Linqi Song:
AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. IEEE J. Sel. Areas Commun. 40(9): 2678-2693 (2022) - [j1]Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding:
Communication-Efficient Federated Learning with Adaptive Quantization. ACM Trans. Intell. Syst. Technol. 13(4): 67:1-67:26 (2022) - [i3]Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao, Linqi Song, Weitao Xu:
Adaptive Top-K in SGD for Communication-Efficient Distributed Learning. CoRR abs/2210.13532 (2022) - 2021
- [c2]Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song:
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. MASS 2021: 136-144 - [i2]Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding:
Communication Efficient Federated Learning with Adaptive Quantization. CoRR abs/2104.06023 (2021) - [i1]Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song:
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. CoRR abs/2107.14575 (2021) - 2020
- [c1]Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y. S. Lam:
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification. ACL 2020: 1050-1060
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