Articles with public access mandates - Kun YuanLearn more
Not available anywhere: 3
Communication-efficient decentralized event monitoring in wireless sensor networks
K Yuan, Q Ling, Z Tian
IEEE Transactions on Parallel and Distributed Systems 26 (8), 2198-2207, 2014
Mandates: National Natural Science Foundation of China
Dual coupled diffusion for distributed optimization with affine constraints
SA Alghunaim, K Yuan, AH Sayed
2018 IEEE Conference on Decision and Control (CDC), 829-834, 2018
Mandates: US National Science Foundation
A Byzantine-resilient dual subgradient method for vertical federated learning
K Yuan, Z Wu, Q Ling
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Mandates: National Natural Science Foundation of China
Available somewhere: 32
On the convergence of decentralized gradient descent
K Yuan, Q Ling, W Yin
SIAM Journal on Optimization 26 (3), 1835-1854, 2016
Mandates: US National Science Foundation, National Natural Science Foundation of China
Exact diffusion for distributed optimization and learning—Part I: Algorithm development
K Yuan, B Ying, X Zhao, AH Sayed
IEEE Transactions on Signal Processing 67 (3), 708-723, 2019
Mandates: US National Science Foundation
Decentralized consensus optimization with asynchrony and delays
T Wu, K Yuan, Q Ling, W Yin, AH Sayed
IEEE Transactions on Signal and Information Processing over Networks 4 (2 …, 2017
Mandates: US National Science Foundation, US Department of Defense, National Natural …
Variance-reduced stochastic learning by networked agents under random reshuffling
K Yuan, B Ying, J Liu, AH Sayed
IEEE Transactions on Signal Processing 67 (2), 351-366, 2019
Mandates: US National Science Foundation
Exact diffusion for distributed optimization and learning—Part II: Convergence analysis
K Yuan, B Ying, X Zhao, AH Sayed
IEEE Transactions on Signal Processing 67 (3), 724-739, 2019
Mandates: US National Science Foundation
A linearly convergent proximal gradient algorithm for decentralized optimization
S Alghunaim, K Yuan, AH Sayed
Advances in Neural Information Processing Systems 32, 2019
Mandates: US National Science Foundation
Walkman: A communication-efficient random-walk algorithm for decentralized optimization
X Mao, K Yuan, Y Hu, Y Gu, AH Sayed, W Yin
IEEE Transactions on Signal Processing 68, 2513-2528, 2020
Mandates: US National Science Foundation, US Department of Defense, National Natural …
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
L Yang, K Yu, T Tang, J Li, K Yuan, L Wang, X Zhang, P Chen
CVPR 2023 - IEEE/CVF Computer Vision and Pattern Recognition Conference, 2023
Mandates: National Natural Science Foundation of China
On the influence of momentum acceleration on online learning
K Yuan, B Ying, AH Sayed
Journal of Machine Learning Research 17 (192), 1-66, 2016
Mandates: US National Science Foundation
On the Influence of Bias-Correction on Distributed Stochastic Optimization
K Yuan, SA Alghunaim, B Ying, AH Sayed
IEEE Transactions on Signal Processing 68, 4352 - 4367, 2020
Mandates: US National Science Foundation
Supervised learning under distributed features
B Ying, K Yuan, AH Sayed
IEEE Transactions on Signal Processing 67 (4), 977-992, 2018
Mandates: US National Science Foundation
A proximal diffusion strategy for multiagent optimization with sparse affine constraints
SA Alghunaim, K Yuan, AH Sayed
IEEE Transactions on Automatic Control 65 (11), 4554-4567, 2019
Mandates: US National Science Foundation
Stochastic learning under random reshuffling with constant step-sizes
B Ying, K Yuan, S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 67 (2), 474-489, 2018
Mandates: US National Science Foundation
Stochastic gradient descent with finite samples sizes
K Yuan, B Ying, S Vlaski, AH Sayed
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
Mandates: US National Science Foundation
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
YF Zhang, X Wang, K Jin, K Yuan, Z Zhang, L Wang, R Jin, T Tan
ICML 2023 - International Conference on Machine Learning, 2023
Mandates: National Natural Science Foundation of China
Can Primal Methods Outperform Primal-dual Methods in Decentralized Dynamic Optimization?
K Yuan, W Xu, Q Ling
IEEE Transactions on Signal Processing 68, 4466 - 4480, 2020
Mandates: US National Science Foundation, National Natural Science Foundation of China
Communication-Efficient Topologies for Decentralized Learning with Consensus Rate
Z Song, W Li, K Jin, L Shi, M Yan, W Yin, K Yuan
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems, 2022
Mandates: US National Science Foundation, National Natural Science Foundation of China
Publication and funding information is determined automatically by a computer program