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Yuchen Mu
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2020 – today
- 2024
- [j4]Yuchen Mu
, Navneet Garg
Federated Distillation in Massive MIMO Networks: Dynamic Training, Convergence Analysis, and Communication Channel-Aware Learning. IEEE Trans. Cogn. Commun. Netw. 10(4): 1535-1550 (2024) - [c3]Yuchen Mu, Xiaonan Liu, Tharmalingam Ratnarajah:
Optimizing Efficiency through Adaptive Model Pruning in Fully Distributed Federated Learning. SPAWC 2024: 26-30 - 2023
- [c2]Yuchen Mu, Navneet Garg, Tharmalingam Ratnarajah:
Communication Channel-Aware Federated Distillation For Massive MIMO Systems. SPAWC 2023: 436-440 - 2022
- [j3]Chengyu Wang, Tingting Chen, Yuchen Mu, Xuan Liang, Kai Xiong, Liqiang Ai, Yunyan Gu
FDRdb: a manually curated database of fibrotic disease-associated RNAome and high-throughput datasets. Database J. Biol. Databases Curation 2022(2022) (2022) - [j2]Yuchen Mu
Federated Learning in Massive MIMO 6G Networks: Convergence Analysis and Communication-Efficient Design. IEEE Trans. Netw. Sci. Eng. 9(6): 4220-4234 (2022) - [c1]Yuchen Mu, Navneet Garg, Tharmalingam Ratnarajah:
Communication-Efficient Federated Learning For Massive MIMO Systems. WCNC 2022: 578-583 - 2020
- [j1]Hanhe Lin
SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning. Qual. User Exp. 5(1) (2020) - [i1]Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe:
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning. CoRR abs/2001.02002 (2020)
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