About Me

I am a final-year Ph.D. candidate in the Department of Computer Science at William & Mary, under the supervision of Prof. Qun Li. Before coming to W&M, I got my bachelor degree in Mathematics, Actuarial Science, Computer Science from University of Iowa (UIOWA) in 2015.

My research interest falls in Machine Learning, Deep learning, Distributed Machine Learning, Edge Computing, Convex and Non-convex Optmization, Model Efficiency, Quantum Computing.

News

May 2022 - I will join Meta Inc. this summer.

Apr 2022 - My dissertation event Zeyi Tao, Computer Science - Dissertation Defense.

Selected Publications

Conferences :

CE-SGD: Communication-Efficient Distributed Machine Learning

Z Tao, Q Xia, Q Li, S Cheng

2021 IEEE Global Communications Conference (GLOBECOM 2021)

Neuron Manifold Distillation for Edge Deep Learning

Z Tao, Q Xia, Q Li

2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS 2021)

eSGD: Communication Efficient Distributed Deep Learning on the Edge

Z Tao, Q Li

USENIX Workshop on Hot Topics in Edge Computing (HotEdge 2018)

Journals :

An Efficient and Robust Cloud-based Deep Learning with Knowledge Distillation

Z Tao, Q Xia, S Chen, Q Li

IEEE Transactions on Cloud Computing (TCC)

A survey of virtual machine management in edge computing

Z Tao, Q Xia, Z Hao, C Li, L Ma, S Yi, Q Li

Proceedings of the IEEE

Preprints & Under Submissions :

LAWS: Look Around and Warm-start Quantum Natural Gradient Algorithm

Z Tao, J Wu, Q Li

Under submission of IEEE International Conference on Quantum Computing and Engineering (QCE 2022)

PreFed: Preconditioned Federated Learning

Z Tao, J Wu, Q Li

Under submission of Thirty-sixth Conference on Neural Information Processing Systems (NIPS 2022)

E-FedNAS: An Efficient Federated Neural Architecture Search Algorithm

Z Tao, J Wu, Q Li

Under submission of Thirty-sixth Conference on Neural Information Processing Systems (NIPS 2022)

Communication-Efficient Distributed Deep Learning Algorithm

Z Tao, Q Xia, Q Li

Under submission of Journal of Parallel and Distributed Computing (JPDC)

Professional Sevices

Reviewer

IEEE INFOCOM (2021)

IEEE Internet of Things Journal (2021)

IEEE Internet Computing (2018, 2019, 2020)

IEEE Transactions on Services Computing (2019)

Work Experiences

Meta Inc. May 2022 - Aug 2022

Ph.D. Machine Learning Intern

Instacart Inc. Jan 2022 - Apr 2022

Ph.D. Machine Learning Intern

Meta Inc. May 2021 - Aug 2021

Ph.D. Machine Learning Engineer Intern