Following the Correct Direction: Renovating Sparsified SGD Towards Global Optimization in Distributed Edge Learning. - Wanyi Ning; Haifeng Sun 001; Xiaoyuan Fu; Xiang Yang; Qi Qi 001; Jingyu Wang 001; Jianxin Liao; Zhu Han 001 (IEEE J. Sel. Areas Commun., 2022)

FLUK: Protecting Federated Learning Against Malicious Clients for Internet of Vehicles. - Mengde Zhu; Wanyi Ning; Qi Qi 001; Jingyu Wang 001; Zirui Zhuang; Haifeng Sun 001; Jun Huang; Jianxin Liao (Euro-Par (2), 2024)

FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models. - Wanyi Ning; Jingyu Wang 001; Qi Qi 001; Mengde Zhu; Haifeng Sun 001; Daixuan Cheng; Jianxin Liao; Ce Zhang (NeurIPS, 2024)

One Teacher is Enough: A Server-Clueless Federated Learning With Knowledge Distillation. - Wanyi Ning; Qi Qi 001; Jingyu Wang 001; Mengde Zhu; Shaolong Li; Guang Yang; Jianxin Liao (IEEE Trans. Serv. Comput., 2024)

ClusterAttn: KV Cache Compression under Intrinsic Attention Clustering. - Minwei Zhang; Haifeng Sun 001; Jingyu Wang 001; Shaolong Li; Wanyi Ning; Qi Qi 001; Zirui Zhuang; Jianxin Liao (ACL (1), 2025)

MergeQuant: Accurate 4-bit Static Quantization of Large Language Models by Channel-wise Calibration. - Jinguang Wang; Jingyu Wang 001; Haifeng Sun 001; Tingting Yang; Zirui Zhuang; Wanyi Ning; Yuexi Yin; Qi Qi 001; Jianxin Liao (CoRR, 2025)