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2020 – today
- 2024
[c4]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: 233-238- [i6]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 abs/2405.10096 (2024) - 2023
- [j1]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): 2-18 (2023) - [c3]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Binary Federated Learning with Client-Level Differential Privacy. GLOBECOM 2023: 3849-3854 - [i5]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 abs/2307.10655 (2023) - [i4]Lumin Liu, Jun Zhang, Shenghui Song, Khaled Ben Letaief:
Binary Federated Learning with Client-Level Differential Privacy. CoRR abs/2308.03320 (2023) - 2022
- [c2]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Communication-Efficient Federated Distillation with Active Data Sampling. ICC 2022: 201-206 - [i3]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Communication-Efficient Federated Distillation with Active Data Sampling. CoRR abs/2203.06900 (2022) - 2021
- [i2]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Hierarchical Quantized Federated Learning: Convergence Analysis and System Design. CoRR abs/2103.14272 (2021) - 2020
- [c1]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Client-Edge-Cloud Hierarchical Federated Learning. ICC 2020: 1-6
2010 – 2019
- 2019
- [i1]Lumin Liu, Jun Zhang, Shenghui Song, Khaled Ben Letaief:
Edge-Assisted Hierarchical Federated Learning with Non-IID Data. CoRR abs/1905.06641 (2019)
Coauthor Index
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