Concepedia

Yuzhu Mao

YM

Statistics

Publications

4

Citations

185

H-Index

4

Active since

2022

Affiliations

Tsinghua–Berkeley Shenzhen Institute(Current)

Tsinghua University

George Washington University

City University of Hong Kong

Shanghai Artificial Intelligence Laboratory

Yuzhu Mao is an author at Tsinghua–Berkeley Shenzhen Institute specializing in distributed learning, engineering, and federated learning.

Top concepts

EngineeringComputer ScienceFederated LearningDistributed LearningData ScienceMachine LearningArtificial IntelligencePrivacyData PrivacyCommunication

Publications per year

2022–2023

4

Publications

4

Communication-Efficient Federated Learning with Adaptive Quantization

Yuzhu Mao, Zihao Zhao, Guangfeng Yan et al. · ACM Transactions on Intelligent Systems and Technology · 2022 · 79 citations · Full text

Artificial Intelligence, Client Dropout Issues, Machine Learning +13

Towards efficient communications in federated learning: A contemporary survey

Zihao Zhao, Yuzhu Mao, Yang Liu et al. · Journal of the Franklin Institute · 2023 · 65 citations

Engineering, Federated Learning, Federated Structure +4

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

Yuzhu Mao, Zihao Zhao, Meilin Yang et al. · IEEE Transactions on Mobile Computing · 2023 · 24 citations

Artificial Intelligence, Edge Devices, Sparse Representation +13

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

Zihao Zhao, Yuzhu Mao, Zhenpeng Shi et al. · IEEE Transactions on Mobile Computing · 2023 · 17 citations

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