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Chonghe Liu
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2020 – today
- 2023
- [c4]Chonghe Liu, Shengli Liu, Dingzhu Wen, Guanding Yu:
Adaptive Cluster Head Selection and Spectrum Allocation for D2D-Enabled Collaborative Learning. GLOBECOM (Workshops) 2023: 491-496 - [c3]Chonghe Liu, Shengli Liu, Guanding Yu:
Spectrum Requirement Prediction for Future WLAN based IoT Applications. ICCC Workshops 2023: 1-5 - 2022
- [j1]Shengli Liu
, Guanding Yu
, Rui Yin
, Jiantao Yuan
, Lei Shen
, Chonghe Liu:
Joint Model Pruning and Device Selection for Communication-Efficient Federated Edge Learning. IEEE Trans. Commun. 70(1): 231-244 (2022) - [c2]Chonghe Liu, Jinke Ren, Guanding Yu:
Ensemble-Based Distributed Learning for Generative Adversarial Networks. VTC Spring 2022: 1-5 - 2021
- [i1]Jinke Ren, Chonghe Liu, Guanding Yu, Dongning Guo:
A New Distributed Method for Training Generative Adversarial Networks. CoRR abs/2107.08681 (2021) - 2020
- [c1]Lingting Zhu, Chonghe Liu, Jiantao Yuan, Guanding Yu:
Machine Learning-Based Resource Optimization for D2D Communication Underlaying Networks. VTC Fall 2020: 1-6
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