フォロー
Yan Kang
Yan Kang
Lead Researcher at WeBank
確認したメール アドレス: webank.com
タイトル
引用先
引用先
A secure federated transfer learning framework
Y Liu, Y Kang, C Xing, T Chen, Q Yang
IEEE Intelligent Systems 35 (4), 70-82, 2020
2662020
Federated learning
Q Yang, Y Liu, Y Cheng, Y Kang, T Chen, H Yu
Synthesis Lectures on Artificial Intelligence and Machine Learning 13 (3), 1-207, 2019
2652019
Fedml: A research library and benchmark for federated machine learning
C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ...
arXiv preprint arXiv:2007.13518, 2020
1292020
A communication efficient collaborative learning framework for distributed features
Y Liu, Y Kang, X Zhang, L Li, Y Cheng, T Chen, M Hong, Q Yang
arXiv preprint arXiv:1912.11187, 2019
86*2019
Secure and efficient federated transfer learning
S Sharma, C Xing, Y Liu, Y Kang
2019 IEEE International Conference on Big Data (Big Data), 2569-2576, 2019
402019
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
Y Kang, Y Liu, X Liang
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-16, 2022
22*2022
Extensible Dynamic Form approach for supplier discovery
Y Kang, J Kim, Y Peng
2011 IEEE International Conference on Information Reuse & Integration, 83-87, 2011
6*2011
Federated deep learning with bayesian privacy
H Gu, L Fan, B Li, Y Kang, Y Yao, Q Yang
arXiv preprint arXiv:2109.13012, 2021
52021
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning
T Zou, Y Liu, Y Kang, W Liu, Y He, Z Yi, Q Yang, YQ Zhang
IEEE Transactions on Big Data, 2022
4*2022
Privacy-preserving Federated Adversarial Domain Adaptation over Feature Groups for Interpretability
Y Kang, Y He, J Luo, T Fan, Y Liu, Q Yang
IEEE Transactions on Big Data, 2022
32022
FedCG: Leverage conditional gan for protecting privacy and maintaining competitive performance in federated learning
Y Wu, Y Kang, J Luo, Y He, Q Yang
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
22022
SecureBoost+: A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning
W Chen, G Ma, T Fan, Y Kang, Q Xu, Q Yang
arXiv preprint arXiv:2110.10927, 2021
12021
Ontology-Based Dynamic Forms for Manufacturing Capability Information Collection
Y Peng, Y Kang
IFIP International Conference on Advances in Production Management Systems …, 2013
12013
FedIPR: Ownership Verification for Federated Deep Neural Network Models
B Li, L Fan, H Gu, J Li, Q Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
2022
Bridging the Gap between Data Integration and ML Systems
R Hai, Y Kang, C Koutras, A Ionescu, A Katsifodimos
arXiv preprint arXiv:2205.09681, 2022
2022
A semantic resolution framework for integrating manufacturing service capability data
Y Kang
University of Maryland, Baltimore County, 2015
2015
Research into Bank Loan Risk Based on UDM and Self-adaptive RBF Neural Network
K Yan
2007 Second International Conference on Bio-Inspired Computing: Theories and …, 2007
2007
群体智能中的联邦学习算法综述
杨强, 童咏マ, 王晏晟, 范力欣, 王薇, 陈雷, 王魏, 康焱
智能科学与技术学报 4 (1), 29-44, 0
iPlant Semantic Web Platform uses SSWAP (Simple Semantic Web Architecture and Protocol) to enable Semantic Pipelines across Distributed Web and High Performance Computing Resources
DDG Gessler, B Bulka, E Sirin, Y Kang, P Klinov, H Vasquez-Gross, J Yu, ...
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論文 1–19