Follow
Dongzhu Liu
Dongzhu Liu
Lecturer (Assistant Professor), University of Glasgow
Verified email at glasgow.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
3932020
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
1032020
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
462020
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
322020
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
162019
Wireless federated langevin monte carlo: Repurposing channel noise for bayesian sampling and privacy
D Liu, O Simeone
IEEE Transactions on Wireless Communications, 2022
92022
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
92018
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
72021
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
22022
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
Harnessing Interference in Content Delivery by Spatial Signal Alignment
D Liu, K Huang
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
2017
17 Differentially Private Wireless Federated Learning
D Liu, A Sonee, O Simeone, S Rini
The system can't perform the operation now. Try again later.
Articles 1–13