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Dongzhu Liu
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2020 – today
- 2024
- [j9]Maojun Zhang
, Yang Li, Dongzhu Liu
Joint Compression and Deadline Optimization for Wireless Federated Learning. IEEE Trans. Mob. Comput. 23(7): 7939-7951 (2024) - [i14]Mingzhao Guo, Dongzhu Liu, Osvaldo Simeone, Dingzhu Wen:
Low-Rank Gradient Compression with Error Feedback for MIMO Wireless Federated Learning. CoRR abs/2401.07496 (2024) - [i13]Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu:
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning. CoRR abs/2410.14390 (2024) - 2023
- [j8]Hong Xing, Guangxu Zhu, Dongzhu Liu, Haifeng Wen, Kaibin Huang, Kaishun Wu:
Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI. IEEE Netw. 37(4): 135-144 (2023) - [j7]Dongzhu Liu
Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy. IEEE Trans. Wirel. Commun. 22(5): 2946-2961 (2023) - [c7]Maojun Zhang, Zhijie Cai, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong:
Joint Compression and Deadline Optimization for Communication-Efficient Federated Edge Learning. GLOBECOM (Workshops) 2023: 521-526 - [c6]Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu:
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. GLOBECOM 2023: 5286-5291 - [i12]Yuding Liu, Dongzhu Liu, Guangxu Zhu, Qingjiang Shi, Caijun Zhong:
Over-the-Air Federated Edge Learning with Error-Feedback One-Bit Quantization and Power Control. CoRR abs/2303.11319 (2023) - [i11]Maojun Zhang, Yang Li, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong:
Joint Compression and Deadline Optimization for Wireless Federated Learning. CoRR abs/2305.03969 (2023) - [i10]Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu:
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. CoRR abs/2305.04152 (2023) - [i9]Hong Xing, Guangxu Zhu, Dongzhu Liu, Haifeng Wen, Kaibin Huang, Kaishun Wu:
Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI. CoRR abs/2306.06603 (2023) - 2022
- [j6]Dongzhu Liu
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. IEEE J. Sel. Areas Commun. 40(2): 562-577 (2022) - [c5]Yunchuan Zhang
Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo. SPAWC 2022: 1-5 - [i8]Yunchuan Zhang, Dongzhu Liu, Osvaldo Simeone:
Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo. CoRR abs/2202.13932 (2022) - 2021
- [j5]Dongzhu Liu
Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control. IEEE J. Sel. Areas Commun. 39(1): 170-185 (2021) - [j4]Dongzhu Liu
Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning. IEEE Trans. Cogn. Commun. Netw. 7(1): 265-278 (2021) - [j3]Dongzhu Liu
Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission. IEEE Trans. Wirel. Commun. 20(1): 406-420 (2021) - [i7]Dongzhu Liu, Osvaldo Simeone:
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. CoRR abs/2103.01351 (2021) - [i6]Dongzhu Liu, Osvaldo Simeone:
Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy. CoRR abs/2108.07644 (2021) - 2020
- [j2]Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang:
Toward an Intelligent Edge: Wireless Communication Meets Machine Learning. IEEE Commun. Mag. 58(1): 19-25 (2020) - [c4]Dongzhu Liu, Guangxu Zhu, Jun Zhang
Exploiting Diversity Via Importance-Aware User Scheduling for Fast Edge Learning. ICC Workshops 2020: 1-6 - [i5]Dongzhu Liu, Osvaldo Simeone:
Privacy For Free: Wireless Federated Learning Via Uncoded Transmission With Adaptive Power Control. CoRR abs/2006.05459 (2020)
2010 – 2019
- 2019
- [c3]Dongzhu Liu, Guangxu Zhu, Jun Zhang
Wireless Data Acquisition for Edge Learning: Importance-Aware Retransmission. SPAWC 2019: 1-5 - [i4]Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang:
Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning. CoRR abs/1910.02214 (2019) - 2018
- [j1]Dongzhu Liu
Mitigating Interference in Content Delivery Networks by Spatial Signal Alignment: The Approach of Shot-Noise Ratio. IEEE Trans. Wirel. Commun. 17(4): 2305-2318 (2018) - [c2]Kaibin Huang, Guangxu Zhu, Changsheng You, Jun Zhang
Communication, Computing, and Learning on the Edge. ICCS 2018: 268-273 - [i3]Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang:
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning. CoRR abs/1809.00343 (2018) - [i2]Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang:
Wireless Data Acquisition for Edge Learning: Importance Aware Retransmission. CoRR abs/1812.02030 (2018) - 2017
- [c1]Dongzhu Liu, Kaibin Huang:
Harnessing Interference in Content Delivery by Spatial Signal Alignment. GLOBECOM 2017: 1-6 - [i1]Dongzhu Liu, Kaibin Huang:
Spatial Alignment of Coding and Modulation Helps Content Delivery. CoRR abs/1704.02275 (2017)
Coauthor Index
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