关注
Linping Qu
Linping Qu
Hong Kong University of Science and Technology
在 connect.ust.hk 的电子邮件经过验证
标题
引用次数
引用次数
年份
FedDQ: Communication-efficient federated learning with descending quantization
L Qu, S Song, CY Tsui
GLOBECOM 2022-2022 IEEE Global Communications Conference, 281-286, 2022
292022
FedAQ: Communication-efficient Federated Edge Learning via joint uplink and downlink adaptive quantization
L Qu, S Song, CY Tsui
arXiv preprint arXiv:2406.18156, 2024
32024
How robust is federated learning to communication error? A comparison study between uplink and downlink channels
L Qu, S Song, CY Tsui, Y Mao
2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2024
12024
Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design
L Qu, Y Mao, S Song, CY Tsui
IEEE Transactions on Wireless Communications, 2024
2024
系统目前无法执行此操作，请稍后再试。
文章 1–4