Xiang Ma

According to our database, Xiang Ma authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Approximate Wireless Communication for Lossy Gradient Updates in IoT Federated Learning.

Xiang Ma, Haijian Sun, Rose Qingyang Hu, Yi Qian

IEEE Internet Things J., March, 2025

Precise Coil Alignment for Dynamic Wireless Charging of Electric Vehicles with RFID Sensing.

Haijian Sun, Xiang Ma, Rose Qingyang Hu, Randy Christensen

IEEE Wirel. Commun., February, 2025

2024

Exploring Communication Technologies, Standards, and Challenges in Electrified Vehicle Charging.

Xiang Ma, Yuan Zhou, Hanwen Zhang, Qun Wang, Haijian Sun, Hongjie Wang, Rose Qingyang Hu

CoRR, 2024

Power Scheduling and Cost Optimization of a Grid Integrated PV and BESS Fast Charging using SARSA Reinforcement Learning.

Arifa Sultana, Xiang Ma, Rose Qingyang Hu, Hongjie Wang

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning.

Xiang Ma, Qun Wang, Haijian Sun, Rose Qingyang Hu, Yi Qian

Proceedings of the IEEE International Conference on Communications, 2024

2023

Approximate Wireless Communication for Federated Learning.

Xiang Ma, Haijian Sun, Rose Qingyang Hu, Yi Qian

Proceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning, 2023

Energy-Efficient Secure Offloading for NOMA-Enabled Machine-type Mobile-Edge Computing.

Yuan Zhou, Haijian Sun, Xiang Ma, Rose Qingyang Hu

Proceedings of the IEEE International Conference on Industrial Technology, 2023

2022

A New Implementation of Federated Learning for Privacy and Security Enhancement.

Xiang Ma, Haijian Sun, Rose Qingyang Hu, Yi Qian

Proceedings of the IEEE Global Communications Conference, 2022

2021

User Scheduling for Federated Learning Through Over-the-Air Computation.

Xiang Ma, Haijian Sun, Qun Wang, Rose Qingyang Hu

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

2020

Adaptive Federated Learning With Gradient Compression in Uplink NOMA.

Haijian Sun, Xiang Ma, Rose Qingyang Hu

IEEE Trans. Veh. Technol., 2020

Towards Green Mobile Edge Computing Offloading Systems with Security Enhancement.

Haijian Sun, Qun Wang, Xiang Ma, Yongjun Xu, Rose Qingyang Hu

CoRR, 2020

Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC.

Xiang Ma, Haijian Sun, Rose Qingyang Hu

Proceedings of the IEEE Global Communications Conference, 2020