| Toward resource-efficient federated learning in mobile edge computing R Yu, P Li IEEE Network 35 (1), 148-155, 2021 | 158 | 2021 |
| FedParking: A federated learning based parking space estimation with parked vehicle assisted edge computing X Huang, P Li, R Yu, Y Wu, K Xie, S Xie IEEE Transactions on Vehicular Technology 70 (9), 9355-9368, 2021 | 93 | 2021 |
| Social welfare maximization in container-based task scheduling for parked vehicle edge computing X Huang, P Li, R Yu IEEE Communications Letters 23 (8), 1347-1351, 2019 | 37 | 2019 |
| Federated learning-empowered AI-generated content in wireless networks X Huang, P Li, H Du, J Kang, D Niyato, DI Kim, Y Wu IEEE Network, 2024 | 35 | 2024 |
| Split learning with differential privacy for integrated terrestrial and non-terrestrial networks M Wu, G Cheng, P Li, R Yu, Y Wu, M Pan, R Lu IEEE Wireless Communications, 2023 | 18 | 2023 |
| FedGreen: Federated learning with fine-grained gradient compression for green mobile edge computing P Li, X Huang, M Pan, R Yu 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 16 | 2021 |
| AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices P Li, G Cheng, X Huang, J Kang, R Yu, Y Wu, M Pan IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, 1-10, 2023 | 15 | 2023 |
| Fedrelay: Federated relay learning for 6g mobile edge intelligence P Li, Y Zhong, C Zhang, Y Wu, R Yu IEEE Transactions on Vehicular Technology 72 (4), 5125-5138, 2022 | 13 | 2022 |
| Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices P Li, H Zhang, Y Wu, L Qian, R Yu, D Niyato, X Shen IEEE Transactions on Mobile Computing, 2024 | 12 | 2024 |
| A survey on integrated sensing, communication, and computing networks for smart oceans M Dai, Y Li, P Li, Y Wu, L Qian, B Lin, Z Su Journal of Sensor and Actuator Networks 11 (4), 70, 2022 | 12 | 2022 |
| Snowball: Energy efficient and accurate federated learning with coarse-to-fine compression over heterogeneous wireless edge devices P Li, G Cheng, X Huang, J Kang, R Yu, Y Wu, M Pan, D Niyato IEEE Transactions on Wireless Communications 22 (10), 6778-6792, 2023 | 10 | 2023 |
| FAST: Fidelity-Adjustable Semantic Transmission over Heterogeneous Wireless Networks P Li, G Cheng, J Kang, R Yu, L Qian, Y Wu, D Niyato ICC 2023 - IEEE International Conference on Communications, 4689-4694, 2023 | 6 | 2023 |
| Quantum-empowered federated learning in space-air-ground integrated networks T Wang, P Li, Y Wu, L Qian, Z Su, R Lu IEEE Network, 2023 | 5 | 2023 |
| Privacy-preserving incentive mechanism for platoon assisted vehicular edge computing with deep reinforcement learning X Huang, Y Zhong, Y Wu, P Li, R Yu China Communications 19 (7), 294-309, 2022 | 5 | 2022 |
| Camera-Selecting Device-Edge Co-Inference for Real-Time Multi-Camera 3D Pose Estimation Z Du, X Huang, Y Wu, P Tan, P Li, L Qian, H Zhou 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 1-6, 2023 | 1 | 2023 |
| Efficient Federated Learning With Quality-Aware Generated Models: An Incentive Mechanism H Zhang, P Li, M Dai, Y Wu, L Qian IEEE Internet of Things Journal, 2024 | | 2024 |
| Coordinated Multi-Point Aided Integrated Sensing, Communication and Computation System: An Energy Efficient Design H Dong, P Li, M Dai, Y Wu, L Qian, X Hei 2024 IEEE/CIC International Conference on Communications in China (ICCC), 54-59, 2024 | | 2024 |
