FedDQ: Communication-Efficient Federated Learning with Descending Quantization. - Linping Qu; Shenghui Song 001; Chi-Ying Tsui (GLOBECOM, 2022)

How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels. - Linping Qu; Shenghui Song 001; Chi-Ying Tsui; Yuyi Mao (WCNC, 2024)

FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization. - Linping Qu; Shenghui Song 001; Chi-Ying Tsui (CoRR, 2024)

Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design. - Linping Qu; Yuyi Mao; Shenghui Song 001; Chi-Ying Tsui (IEEE Trans. Wirel. Commun., 2024)

KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference. - Xing Li; Zeyu Xing 002; Yiming Li; Linping Qu; Hui-Ling Zhen; Wulong Liu; Yiwu Yao; Sinno Jialin Pan; Mingxuan Yuan (CoRR, 2025)