Lumin Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Active Learning

Data Collection

Differential Privacy

Differentially Private

Top Venues

IEEE Trans. Wirel. Commun.

Publications

Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, S. H. Song, Khaled B. Letaief
The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective. CoRR (2024)
Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief
The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective. MeditCom (2024)
Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief
Binary Federated Learning with Client-Level Differential Privacy. GLOBECOM (2023)
Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Jun Zhang
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency. CoRR (2023)
Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief
Hierarchical Federated Learning With Quantization: Convergence Analysis and System Design. IEEE Trans. Wirel. Commun. 22 (1) (2023)
Lumin Liu, Jun Zhang, Shenghui Song, Khaled Ben Letaief
Binary Federated Learning with Client-Level Differential Privacy. CoRR (2023)
Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief
Communication-Efficient Federated Distillation with Active Data Sampling. ICC (2022)
Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief
Communication-Efficient Federated Distillation with Active Data Sampling. CoRR (2022)
Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief
Hierarchical Quantized Federated Learning: Convergence Analysis and System Design. CoRR (2021)
Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief
Client-Edge-Cloud Hierarchical Federated Learning. ICC (2020)
Lumin Liu, Jun Zhang, Shenghui Song, Khaled Ben Letaief
Edge-Assisted Hierarchical Federated Learning with Non-IID Data. CoRR (2019)