Peichun Li

According to our database, Peichun Li authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Quantum-Empowered Federated Learning in Space-Air-Ground Integrated Networks.

Tianshun Wang, Peichun Li, Yuan Wu, Li Ping Qian, Zhou Su, Rongxing Lu

IEEE Netw., January, 2024

2023

Snowball: Energy Efficient and Accurate Federated Learning With Coarse-to-Fine Compression Over Heterogeneous Wireless Edge Devices.

Peichun Li, Guoliang Cheng, Xumin Huang, Jiawen Kang, Rong Yu, Yuan Wu, Miao Pan, Dusit Niyato

IEEE Trans. Wirel. Commun., October, 2023

FedRelay: Federated Relay Learning for 6G Mobile Edge Intelligence.

Peichun Li, Yupei Zhong, Chaorui Zhang, Yuan Wu, Rong Yu

IEEE Trans. Veh. Technol., April, 2023

Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices.

Peichun Li, Hanwen Zhang, Yuan Wu, Liping Qian, Rong Yu, Dusit Niyato, Xuemin Shen

CoRR, 2023

Federated Learning-Empowered AI-Generated Content in Wireless Networks.

Xumin Huang, Peichun Li, Hongyang Du, Jiawen Kang, Dusit Niyato, Dong In Kim, Yuan Wu

CoRR, 2023

Camera-Selecting Device-Edge Co-Inference for Real-Time Multi-Camera 3D Pose Estimation.

Zhuohang Du, Xumin Huang, Yuan Wu, Pengcheng Tan, Peichun Li, Liping Qian, Haibo Zhou

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices.

Peichun Li, Guoliang Cheng, Xumin Huang, Jiawen Kang, Rong Yu, Yuan Wu, Miao Pan

Proceedings of the IEEE INFOCOM 2023, 2023

FAST: Fidelity-Adjustable Semantic Transmission Over Heterogeneous Wireless Networks.

Peichun Li, Guoliang Cheng, Jiawen Kang, Rong Yu, Li Ping Qian, Yuan Wu, Dusit Niyato

Proceedings of the IEEE International Conference on Communications, 2023

2022

A Survey on Integrated Sensing, Communication, and Computing Networks for Smart Oceans.

Minghui Dai, Yang Li, Peichun Li, Yuan Wu, Li Ping Qian, Bin Lin, Zhou Su

J. Sens. Actuator Networks, 2022

2021

FedParking: A Federated Learning Based Parking Space Estimation With Parked Vehicle Assisted Edge Computing.

Xumin Huang, Peichun Li, Rong Yu, Yuan Wu, Kan Xie, Shengli Xie

IEEE Trans. Veh. Technol., 2021

Toward Resource-Efficient Federated Learning in Mobile Edge Computing.

Rong Yu, Peichun Li

IEEE Netw., 2021

FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing.

Peichun Li, Xumin Huang, Miao Pan, Rong Yu

Proceedings of the IEEE Global Communications Conference, 2021

2019

Social Welfare Maximization in Container-Based Task Scheduling for Parked Vehicle Edge Computing.

Xumin Huang, Peichun Li, Rong Yu

IEEE Commun. Lett., 2019