Dongzhu Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Content Delivery

Stochastic Gradient

Top Venues

IEEE Trans. Wirel. Commun.

IEEE J. Sel. Areas Commun.

Publications

Maojun Zhang, Yang Li, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong, Tony Q. S. Quek
Joint Compression and Deadline Optimization for Wireless Federated Learning. IEEE Trans. Mob. Comput. 23 (7) (2024)
Mingzhao Guo, Dongzhu Liu, Osvaldo Simeone, Dingzhu Wen
Low-Rank Gradient Compression with Error Feedback for MIMO Wireless Federated Learning. CoRR (2024)
Maojun Zhang, Yang Li, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong
Joint Compression and Deadline Optimization for Wireless Federated Learning. CoRR (2023)
Hong Xing, Guangxu Zhu, Dongzhu Liu, Haifeng Wen, Kaibin Huang, Kaishun Wu
Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI. CoRR (2023)
Dongzhu Liu, Osvaldo Simeone
Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy. IEEE Trans. Wirel. Commun. 22 (5) (2023)
Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. CoRR (2023)
Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. GLOBECOM (2023)
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 (2023)
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) (2023)
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)
Dongzhu Liu, Osvaldo Simeone
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. IEEE J. Sel. Areas Commun. 40 (2) (2022)
Yunchuan Zhang, Dongzhu Liu, Osvaldo Simeone
Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo. SPAWC (2022)
Yunchuan Zhang, Dongzhu Liu, Osvaldo Simeone
Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo. CoRR (2022)
Dongzhu Liu, Osvaldo Simeone
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. CoRR (2021)
Dongzhu Liu, Guangxu Zhu, Qunsong Zeng, Jun Zhang, Kaibin Huang
Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission. IEEE Trans. Wirel. Commun. 20 (1) (2021)
Dongzhu Liu, Osvaldo Simeone
Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control. IEEE J. Sel. Areas Commun. 39 (1) (2021)
Dongzhu Liu, Osvaldo Simeone
Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy. CoRR (2021)
Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang
Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning. IEEE Trans. Cogn. Commun. Netw. 7 (1) (2021)
Dongzhu Liu, Osvaldo Simeone
Privacy For Free: Wireless Federated Learning Via Uncoded Transmission With Adaptive Power Control. CoRR (2020)
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) (2020)
Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang
Exploiting Diversity Via Importance-Aware User Scheduling for Fast Edge Learning. ICC Workshops (2020)
Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang
Wireless Data Acquisition for Edge Learning: Importance-Aware Retransmission. SPAWC (2019)
Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang
Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning. CoRR (2019)
Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang
Wireless Data Acquisition for Edge Learning: Importance Aware Retransmission. CoRR (2018)
Kaibin Huang, Guangxu Zhu, Changsheng You, Jun Zhang, Yuqing Du, Dongzhu Liu
Communication, Computing, and Learning on the Edge. ICCS (2018)
Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning. CoRR (2018)
Dongzhu Liu, Kaibin Huang
Mitigating Interference in Content Delivery Networks by Spatial Signal Alignment: The Approach of Shot-Noise Ratio. IEEE Trans. Wirel. Commun. 17 (4) (2018)
Dongzhu Liu, Kaibin Huang
Harnessing Interference in Content Delivery by Spatial Signal Alignment. GLOBECOM (2017)
Dongzhu Liu, Kaibin Huang
Spatial Alignment of Coding and Modulation Helps Content Delivery. CoRR (2017)