Zheng Chai

Zheng Chai

George Mason University

H-index: 7

North America-United States

About Zheng Chai

Zheng Chai, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at George Mason University, specializes in the field of Distributed machine learning systems, Federated learning, High-performance computing, Storage systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Beyond efficiency: A systematic survey of resource-efficient large language models

Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction

Toward quantized model parallelism for graph-augmented mlps based on gradient-free admm framework

Distributed graph neural network training with periodic historical embedding synchronization

FedAT: A high-performance and communication-efficient federated learning system with asynchronous tiers

Asynchronous federated learning for sensor data with concept drift

Tunable subnetwork splitting for model-parallelism of neural network training

Tifl: A tier-based federated learning system

Zheng Chai Information

University

Position

___

Citations(all)

596

Citations(since 2020)

595

Cited By

72

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Zheng Chai Skills & Research Interests

Distributed machine learning systems

Federated learning

High-performance computing

Storage systems

Top articles of Zheng Chai

Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction

arXiv preprint arXiv:2308.13466

2023/8/25

Toward quantized model parallelism for graph-augmented mlps based on gradient-free admm framework

IEEE Transactions on Neural Networks and Learning Systems

2022/12/19

Distributed graph neural network training with periodic historical embedding synchronization

2022/9/29

FedAT: A high-performance and communication-efficient federated learning system with asynchronous tiers

The International Conference for High Performance Computing, Networking, Storage, and Analysis

2021/1

Asynchronous federated learning for sensor data with concept drift

2021/12/15

Tunable subnetwork splitting for model-parallelism of neural network training

arXiv preprint arXiv:2009.04053

2020/9/9

Federated multi-task learning with hierarchical attention for sensor data analytics

2020/7/19

Toward model parallelism for deep neural network based on gradient-free ADMM framework

2020/11/17

See List of Professors in Zheng Chai University(George Mason University)