Qinglun Li

12 papers A* 2Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Understanding Model Merging: A Unified Generalization Framework for Heterogeneous Experts.
CoRR
Qinglun Li, Anke Tang, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen
2025 J jnl
Asymmetrically Decentralized Federated Learning.
IEEE Trans. Computers
Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen, Xiaochun Cao
2025 J jnl
DFedADMM: Dual Constraint Controlled Model Inconsistency for Decentralize Federated Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao
2025 J jnl
DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum.
Neural Networks
Qinglun Li, Miao Zhang, Tao Sun, Quanjun Yin, Li Shen
2025 A* conf
Understanding the Stability-based Generalization of Personalized Federated Learning.
ICLR
Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao
2025 J jnl
Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training.
CoRR
Qinglun Li, Yingqi Liu, Miao Zhang, Xiaochun Cao, Quanjun Yin, Li Shen
2024 J jnl
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration.
CoRR
Qinglun Li, Miao Zhang, Yingqi Liu, Quanjun Yin, Li Shen, Xiaochun Cao
2024 A* conf
Decentralized Directed Collaboration for Personalized Federated Learning.
CVPR
Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen
2024 J jnl
Decentralized Directed Collaboration for Personalized Federated Learning.
CoRR
Yingqi Liu, Yifan Shi, Qinglun Li, Baoyuan Wu, Xueqian Wang, Li Shen
2024 J jnl
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement.
CoRR
Qinglun Li, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen
2023 J jnl
Asymmetrically Decentralized Federated Learning.
CoRR
Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen
2023 J jnl
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning.
CoRR
Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao