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DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning

DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning

Qinglun Li
Li Shen
Guang-Ming Li
Quanjun Yin
Dacheng Tao
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Papers citing "DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning"

5 / 5 papers shown
Title
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
26
0
0
09 Oct 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Yan Sun
Li Shen
Dacheng Tao
FedML
25
0
0
27 Sep 2024
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Yan Sun
Li Shen
Tiansheng Huang
Liang Ding
Dacheng Tao
FedML
36
51
0
21 Feb 2023
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du
Hanshu Yan
Jiashi Feng
Qiufeng Wang
Liangli Zhen
Rick Siow Mong Goh
Vincent Y. F. Tan
AAML
113
132
0
07 Oct 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
187
412
0
14 Jul 2021