Yuzhu Mao

According to our database, Yuzhu Mao authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy.

Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang

IEEE Trans. Mob. Comput., June, 2024

SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications.

Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang

IEEE Trans. Mob. Comput., May, 2024

Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach.

Yuzhu Mao, Siqi Ping, Zihao Zhao, Yang Liu, Wenbo Ding

CoRR, 2024

FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering.

Siqi Ping, Yuzhu Mao, Yang Liu, Xiao-Ping Zhang, Wenbo Ding

CoRR, 2024

2023

Towards efficient communications in federated learning: A contemporary survey.

Zihao Zhao, Yuzhu Mao, Yang Liu, Linqi Song, Ye Ouyang, Xinlei Chen, Wenbo Ding

J. Frankl. Inst., 2023

AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients.

Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang

CoRR, 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