Qinglun Li

According to our database, Qinglun Li authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Asymmetrically Decentralized Federated Learning.

Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen, Xiaochun Cao

IEEE Trans. Computers, August, 2025

DFedADMM: Dual Constraint Controlled Model Inconsistency for Decentralize Federated Learning.

Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum.

Qinglun Li, Miao Zhang, Tao Sun, Quanjun Yin, Li Shen

Neural Networks, 2025

Understanding the Stability-based Generalization of Personalized Federated Learning.

Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration.

Qinglun Li, Miao Zhang, Yingqi Liu, Quanjun Yin, Li Shen, Xiaochun Cao

CoRR, 2024

OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement.

Qinglun Li, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen

CoRR, 2024

Decentralized Directed Collaboration for Personalized Federated Learning.

Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Asymmetrically Decentralized Federated Learning.

Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen

CoRR, 2023

DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning.

Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao

CoRR, 2023