eSGD: Communication Efficient Distributed Deep Learning on the Edge. - Zeyi Tao; Qun Li 001 (HotEdge, 2018)

FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks. - Qi Xia 003; Zeyi Tao; Zijiang Hao; Qun Li 001 (IJCAI, 2019)

A Survey of Virtual Machine Management in Edge Computing. - Zeyi Tao; Qi Xia 003; Zijiang Hao; Cheng Li 006; Lele Ma; Shanhe Yi; Qun Li 001 (Proc. IEEE, 2019)

CE-SGD: Communication-Efficient Distributed Machine Learning. - Zeyi Tao; Qi Xia 003; Qun Li 001; Songqing Chen (GLOBECOM, 2021)

Neuron Manifold Distillation for Edge Deep Learning. - Zeyi Tao; Qi Xia 003; Qun Li 001 (IWQoS, 2021)

Defending Against Byzantine Attacks in Quantum Federated Learning. - Qi Xia 003; Zeyi Tao; Qun Li 001 (MSN, 2021)

ToFi: An Algorithm to Defend Against Byzantine Attacks in Federated Learning. - Qi Xia 003; Zeyi Tao; Qun Li 001 (SecureComm (1), 2021)

Defenses Against Byzantine Attacks in Distributed Deep Neural Networks. - Qi Xia 003; Zeyi Tao; Qun Li 001 (IEEE Trans. Netw. Sci. Eng., 2021)

Privacy-Preserving and Robust Federated Deep Metric Learning. - Yulong Tian; Xiaopeng Ke; Zeyi Tao; Shaohua Ding; Fengyuan Xu; Qun Li 001; Hao Han; Sheng Zhong 002; Xinyi Fu (IWQoS, 2022)

wpScalable Quantum Neural Networks for Classification. - Jindi Wu; Zeyi Tao; Qun Li 001 (QCE, 2022)

Scalable Quantum Neural Networks for Classification. - Jindi Wu; Zeyi Tao; Qun Li 001 (CoRR, 2022)

LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks. - Zeyi Tao; Jindi Wu; Qi Xia 003; Qun Li 001 (QSW, 2023)

Preconditioned Federated Learning. - Zeyi Tao; Jindi Wu; Qun Li 001 (CoRR, 2023)

An Efficient and Robust Cloud-Based Deep Learning With Knowledge Distillation. - Zeyi Tao; Qi Xia 003; Songqing Chen; Qun Li 001 (IEEE Trans. Cloud Comput., 2023)

Byzantine Tolerant Algorithms for Federated Learning. - Qi Xia 003; Zeyi Tao; Qun Li 001; Songqing Chen (IEEE Trans. Netw. Sci. Eng., 2023)