DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning. - Qinglun Li; Li Shen 008; Guanghao Li; Quanjun Yin; Dacheng Tao (CoRR, 2023)

Asymmetrically Decentralized Federated Learning. - Qinglun Li; Miao Zhang; Nan Yin; Quanjun Yin; Li Shen 008 (CoRR, 2023)

Decentralized Directed Collaboration for Personalized Federated Learning. - Yingqi Liu; Yifan Shi; Baoyuan Wu; Qinglun Li; Xueqian Wang 001; Li Shen 008 (CVPR, 2024)

OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement. - Qinglun Li; Miao Zhang; Mengzhu Wang; Quanjun Yin; Li Shen 008 (CoRR, 2024)

Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration. - Qinglun Li; Miao Zhang; Yingqi Liu; Quanjun Yin; Li Shen 008; Xiaochun Cao (CoRR, 2024)

Understanding the Stability-based Generalization of Personalized Federated Learning. - Yingqi Liu; Qinglun Li; Jie Tang 001; Yifan Shi; Li Shen 008; Xiaochun Cao (ICLR, 2025)

DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum. - Qinglun Li; Miao Zhang; Tao Sun 005; Quanjun Yin; Li Shen 008 (Neural Networks, 2025)

DFedADMM: Dual Constraint Controlled Model Inconsistency for Decentralize Federated Learning. - Qinglun Li; Li Shen 008; Guanghao Li; Quanjun Yin; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Asymmetrically Decentralized Federated Learning. - Qinglun Li; Miao Zhang; Nan Yin; Quanjun Yin; Li Shen 008; Xiaochun Cao (IEEE Trans. Computers, 2025)