| 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 | 576 | 2020 |
| 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 | 184 | 2020 |
| 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 | 66 | 2020 |
| 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 | 51 | 2020 |
| 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 | 23 | 2019 |
| Wireless federated langevin monte carlo: Repurposing channel noise for bayesian sampling and privacy D Liu, O Simeone IEEE Transactions on Wireless Communications, 2022 | 17 | 2022 |
| 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 | 9 | 2021 |
| 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 | 8 | 2018 |
| 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 |
| 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 | 4 | 2023 |
| 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 | 4 | 2022 |
| 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 | 3 | 2023 |
| 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 | 2 | 2023 |
| 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 | 1 | 2020 |
| 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 | | 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 |
| 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 | | 2023 |
| Differentially Private Wireless Federated Learning: from Part II-Wireless Networks for Machine Learning D Liu, A Sonee, O Simeone, S Rini Machine Learning and Wireless Communications, 2022 | | 2022 |
| 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 | | |
Guangxu ZHUShenzhen Research Institute of Big Data在 sribd.cn 的电子邮件经过验证
