Lumin Liu

According to our database, Lumin Liu authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective.

Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, S. H. Song, Khaled B. Letaief

CoRR, 2024

The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective.

Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2024

2023

Hierarchical Federated Learning With Quantization: Convergence Analysis and System Design.

Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief

IEEE Trans. Wirel. Commun., 2023

A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency.

Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Jun Zhang

CoRR, 2023

Binary Federated Learning with Client-Level Differential Privacy.

Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief

Proceedings of the IEEE Global Communications Conference, 2023

2022

Communication-Efficient Federated Distillation with Active Data Sampling.

Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief

Proceedings of the IEEE International Conference on Communications, 2022

2021

Hierarchical Quantized Federated Learning: Convergence Analysis and System Design.

Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief

CoRR, 2021

2020

Client-Edge-Cloud Hierarchical Federated Learning.

Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Edge-Assisted Hierarchical Federated Learning with Non-IID Data.

Lumin Liu, Jun Zhang, Shenghui Song, Khaled Ben Letaief

CoRR, 2019