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2020 – today
- 2025
[j1]Qinglun Li, Miao Zhang, Tao Sun, Quanjun Yin, Li Shen:
DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum. Neural Networks 184: 107084 (2025)- 2024
- [c1]Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen:
Decentralized Directed Collaboration for Personalized Federated Learning. CVPR 2024: 23168-23178 - [i5]Yingqi Liu, Yifan Shi, Qinglun Li, Baoyuan Wu, Xueqian Wang, Li Shen:
Decentralized Directed Collaboration for Personalized Federated Learning. CoRR abs/2405.17876 (2024) - [i4]Qinglun Li, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen:
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement. CoRR abs/2410.06482 (2024) - [i3]Qinglun Li, Miao Zhang, Yingqi Liu, Quanjun Yin, Li Shen, Xiaochun Cao:
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration. CoRR abs/2410.07272 (2024) - 2023
- [i2]Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao:
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning. CoRR abs/2308.08290 (2023) - [i1]Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen:
Asymmetrically Decentralized Federated Learning. CoRR abs/2310.05093 (2023)
Coauthor Index
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