Customized Federated Learning for accelerated edge computing with heterogeneous task targets. - Hui Jiang 015; Min Liu 001; Bo Yang 026; Qingxiang Liu 004; Jizhong Li; Xiaobing Guo (Comput. Networks, 2020)

FedSyL: Computation-Efficient Federated Synergy Learning on Heterogeneous IoT Devices. - Hui Jiang 015; Min Liu 001; Sheng Sun; Yuwei Wang 003; Xiaobing Guo (IWQoS, 2022)

FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization. - Xujing Li; Min Liu 001; Sheng Sun; Yuwei Wang 003; Hui Jiang 015; Xuefeng Jiang (IPDPS, 2023)

FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout. - Jingjing Xue; Min Liu 001; Sheng Sun; Yuwei Wang 003; Hui Jiang 015; Xuefeng Jiang (IPDPS, 2023)

Differential Private Data Stream Analytics in the Local and Shuffle Models. - Shaowei Wang 003; Jin Li 002; Yun Peng 002; Kongyang Chen; Wei Yang 011; Hui Jiang 015; Jin Li 002 (IEEE Trans. Mob. Comput., 2025)