Adaptive federated learning with gradient compression in uplink NOMA H Sun, X Ma, RQ Hu IEEE Transactions on Vehicular Technology 69 (12), 16325-16329, 2020 | 71 | 2020 |
Scheduling policy and power allocation for federated learning in NOMA based MEC X Ma, H Sun, RQ Hu IEEE Globecom 2020, 2020 | 38 | 2020 |
User Scheduling for Federated Learning Through Over-the-Air Computation X Ma, H Sun, W Qun, RQ Hu IEEE VTC 2021 Fall, https://arxiv.org/abs/2108.02891, 2021 | 17 | 2021 |
Towards green mobile edge computing offloading systems with security enhancement H Sun, Q Wang, X Ma, Y Xu, RQ Hu 2020 Intermountain Engineering, Technology and Computing (IETC), 1-6, 2020 | 5 | 2020 |
Precise Coil Alignment for Dynamic Wireless Charging of Electric Vehicles with RFID Sensing H Sun, X Ma, RQ Hu, R Christensen | 1 | 2024 |
A New Implementation of Federated Learning for Privacy and Security Enhancement X Ma, H Sun, RQ Hu, Y Qian IEEE GlobeCom 2022, 4885-4890, 2022 | 1 | 2022 |
CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning X Ma, Q Wang, H Sun, RQ Hu, Y Qian IEEE ICC 2024, https://arxiv.org/pdf/2306.01207.pdf, 2024 | | 2024 |
Energy-Efficient Secure Offloading for NOMA-Enabled Machine-type Mobile-Edge Computing Y Zhou, H Sun, X Ma, RQ Hu 2023 IEEE International Conference on Industrial Technology (ICIT), 1-6, 2023 | | 2023 |
Approximate Wireless Communication for Federated Learning X Ma, H Sun, RQ Hu, Y Qian ACM Workshop on Wireless Security and Machine Learning (WiseML 2023), https …, 2023 | | 2023 |