Zeyi Tao

Jindi Wu

CoRR, 2023

LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Software, 2023

2022

Scalable Quantum Neural Networks for Classification.

[BibT_eX]

[DOI]

Jindi Wu

CoRR, 2022

wpScalable Quantum Neural Networks for Classification.

[BibT_eX]

[DOI]

Jindi Wu

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Privacy-Preserving and Robust Federated Deep Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

2021

Defenses Against Byzantine Attacks in Distributed Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2021

ToFi: An Algorithm to Defend Against Byzantine Attacks in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2021

Defending Against Byzantine Attacks in Quantum Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Neuron Manifold Distillation for Edge Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

CE-SGD: Communication-Efficient Distributed Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2019

A Survey of Virtual Machine Management in Edge Computing.

[BibT_eX]

[DOI]

Proc. IEEE, 2019

FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

eSGD: Communication Efficient Distributed Deep Learning on the Edge.

[BibT_eX]

[DOI]