Suivre
Dongzhu Liu
Dongzhu Liu
Autres noms刘冬竹 Liu, Dongzhu
Lecturer (Assistant Professor), University of Glasgow
Adresse e-mail validée de glasgow.ac.uk - Page d'accueil
Titre
Citée par
Citée par
Année
Toward an intelligent edge: Wireless communication meets machine learning
G Zhu, D Liu, Y Du, C You, J Zhang, K Huang
IEEE communications magazine 58 (1), 19-25, 2020
6602020
Privacy for free: Wireless federated learning via uncoded transmission with adaptive power control
D Liu, O Simeone
IEEE Journal on Selected Areas in Communications 39 (1), 170-185, 2020
2192020
Data-importance aware user scheduling for communication-efficient edge machine learning
D Liu, G Zhu, J Zhang, K Huang
IEEE Transactions on Cognitive Communications and Networking 7 (1), 265-278, 2020
782020
Wireless data acquisition for edge learning: Data-importance aware retransmission
D Liu, G Zhu, Q Zeng, J Zhang, K Huang
IEEE transactions on wireless communications 20 (1), 406-420, 2020
572020
Wireless Data Acquisition for Edge Learning: Importance-Aware Retransmission
D Liu, G Zhu, J Zhang, K Huang
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
262019
Wireless federated langevin monte carlo: Repurposing channel noise for bayesian sampling and privacy
D Liu, O Simeone
IEEE Transactions on Wireless Communications 22 (5), 2946-2961, 2022
252022
Task-oriented integrated sensing, computation and communication for wireless edge AI
H Xing, G Zhu, D Liu, H Wen, K Huang, K Wu
IEEE Network 37 (4), 135-144, 2023
112023
Channel-driven monte carlo sampling for bayesian distributed learning in wireless data centers
D Liu, O Simeone
IEEE Journal on Selected Areas in Communications 40 (2), 562-577, 2021
112021
Communication, computing, and learning on the edge
K Huang, G Zhu, C You, J Zhang, Y Du, D Liu
2018 IEEE International Conference on Communication Systems (ICCS), 268-273, 2018
82018
Joint compression and deadline optimization for wireless federated learning
M Zhang, Y Li, D Liu, R Jin, G Zhu, C Zhong, TQS Quek
IEEE Transactions on Mobile Computing, 2023
72023
Over-the-air federated edge learning with error-feedback one-bit quantization and power control
Y Liu, D Liu, G Zhu, Q Shi, C Zhong
arXiv preprint arXiv:2303.11319, 2023
62023
Mitigating interference in content delivery networks by spatial signal alignment: The approach of shot-noise ratio
D Liu, K Huang
IEEE Transactions on Wireless Communications 17 (4), 2305-2318, 2018
5*2018
Leveraging channel noise for sampling and privacy via quantized federated langevin monte carlo
Y Zhang, D Liu, O Simeone
2022 IEEE 23rd International Workshop on Signal Processing Advances in …, 2022
42022
Efficient wireless federated learning via low-rank gradient factorization
M Guo, D Liu, O Simeone, D Wen
IEEE Transactions on Vehicular Technology, 2024
12024
Low-Rank Gradient Compression with Error Feedback for MIMO Wireless Federated Learning
M Guo, D Liu, O Simeone, D Wen
arXiv preprint arXiv:2401.07496, 2024
12024
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics
B Zhang, D Liu, O Simeone, G Zhu
GLOBECOM 2023-2023 IEEE Global Communications Conference, 5286-5291, 2023
12023
Exploiting Diversity Via Importance-Aware User Scheduling for Fast Edge Learning
D Liu, G Zhu, J Zhang, K Huang
2020 IEEE International Conference on Communications Workshops (ICC …, 2020
12020
Channel Capacity-Aware Distributed Encoding for Multi-View Sensing and Edge Inference
M Yang, G Liang, D Liu, L Zhang, K Huang
arXiv preprint arXiv:2411.11539, 2024
2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
B Zhang, D Liu, O Simeone, G Wang, D Pezaros, G Zhu
arXiv preprint arXiv:2410.14390, 2024
2024
Joint Compression and Deadline Optimization for Communication-Efficient Federated Edge Learning
M Zhang, Z Cai, D Liu, R Jin, G Zhu, C Zhong
2023 IEEE Globecom Workshops (GC Wkshps), 521-526, 2023
2023
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