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Kangyang Luo
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 8
Top Topics
Kernel Learning
Learning Tasks
Naive Bayes Classifier
Convex Optimization
Top Venues
CoRR
IEEE Access
CVPR
ECAI
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Publications
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Kangyang Luo
,
Kunkun Zhang
,
Shengbo Zhang
,
Xiang Li
,
Ming Gao
Decentralized Local Updates with Dual-Slow Estimation and Momentum-based Variance-Reduction for Non-Convex Optimization.
CoRR
(2023)
Kangyang Luo
,
Shuai Wang
,
Yexuan Fu
,
Xiang Li
,
Yunshi Lan
,
Ming Gao
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.
CoRR
(2023)
Kangyang Luo
,
Xiang Li
,
Yunshi Lan
,
Ming Gao
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.
CoRR
(2023)
Kangyang Luo
,
Shuai Wang
,
Yexuan Fu
,
Xiang Li
,
Yunshi Lan
,
Ming Gao
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.
NeurIPS
(2023)
Kangyang Luo
,
Xiang Li
,
Yunshi Lan
,
Ming Gao
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.
CVPR
(2023)
Kangyang Luo
,
Kunkun Zhang
,
Shengbo Zhang
,
Xiang Li
,
Ming Gao
Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization.
ECAI
(2023)
Xiaojin Xie
,
Kangyang Luo
,
Guoqiang Wang
A New Lā Multi-Kernel Learning Support Vector Regression Ensemble Algorithm With AdaBoost.
IEEE Access
10 (2022)
Kangyang Luo
,
Guoqiang Wang
,
Qian Li
,
Jiyuan Tao
An Improved SVM-RFE Based on F-Statistic and mPDC for Gene Selection in Cancer Classification.
IEEE Access
7 (2019)