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Publication search results
found 316 matches
- 2024
- Hancong Huangfu, Zizhen Zhang:
Greedy-based user selection for federated graph neural networks with limited communication resources. Comput. Intell. 40(1) (2024) - Jieying Chen, Rong Pan:
Medical report generation based on multimodal federated learning. Comput. Medical Imaging Graph. 113: 102342 (2024) - Rong Xie, Zhong Chen, Congying Wu, Tiecheng Li:
PPFGED: Federated learning for graphic element detection with privacy preservation in multi-source substation drawings. Expert Syst. Appl. 243: 122758 (2024) - Chenglong Huang, Erwu Liu, Rui Wang, Yan Liu, Hanfu Zhang, Yuanzhe Geng, Jie Wang, Shaoyi Han:
Personalized federated learning via directed acyclic graph based blockchain. IET Blockchain 4(1): 73-82 (2024) - He-xuan Hu, Chengcheng Cao, Qiang Hu, Ye Zhang:
Federated learning enabled graph convolutional autoencoder and factorization machine for potential friendship prediction in social networks. Inf. Fusion 102: 102042 (2024) - Biao Xie, Chunqiang Hu, Hongyu Huang, Jiguo Yu, Hui Xia:
DCI-PFGL: Decentralized Cross-Institutional Personalized Federated Graph Learning for IoT Service Recommendation. IEEE Internet Things J. 11(8): 13837-13850 (2024) - Rasha Al-Huthaifi, Tianrui Li, Zaid Al-Huda, Chongshou Li:
FedAGAT: Real-time traffic flow prediction based on federated community and adaptive graph attention network. Inf. Sci. 667: 120482 (2024) - Chuan Chen, Ziyue Xu, Weibo Hu, Zibin Zheng, Jie Zhang:
FedGL: Federated graph learning framework with global self-supervision. Inf. Sci. 657: 119976 (2024) - Haizhou Du, Conghao Liu, Haotian Liu, Xiaoyu Ding, Huan Huo:
An efficient federated learning framework for graph learning in hyperbolic space. Knowl. Based Syst. 289: 111438 (2024) - Rufei Gao, Zhaowei Liu, Chenxi Jiang, Yingjie Wang, Shenqiang Wang, Pengda Wang:
BI-FedGNN: Federated graph neural networks framework based on Bayesian inference. Neural Networks 169: 143-153 (2024) - Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu:
Preserving specificity in federated graph learning for fMRI-based neurological disorder identification. Neural Networks 169: 584-596 (2024) - Yanjun Liu, Hongwei Li, Meng Hao:
SVFGNN: A privacy-preserving vertical federated graph neural network model training framework based on split learning. Peer Peer Netw. Appl. 17(1): 246-260 (2024) - Jiusi Zhang, Jilun Tian, Pengfei Yan, Shimeng Wu, Hao Luo, Shen Yin:
Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective. Reliab. Eng. Syst. Saf. 244: 109950 (2024) - Apoorva Singh, Siddarth Chandrasekar, Tanmay Sen, Sriparna Saha:
Federated Multitask Learning for Complaint Identification Using Graph Attention Network. IEEE Trans. Artif. Intell. 5(3): 1277-1286 (2024) - Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng:
An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning. IEEE Trans. Artif. Intell. 5(5): 2227-2240 (2024) - Meiting Xue, Zian Zhou, Pengfei Jiao, Huijun Tang:
Fine-Tuned Personality Federated Learning for Graph Data. IEEE Trans. Big Data 10(3): 313-319 (2024) - Daniel Manu, Jingjing Yao, Wuji Liu, Xiang Sun:
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 21(2): 240-253 (2024) - Liang Xu, Tao Chen, Zhaoxiang Hou, Weishan Zhang, Chitin Hon, Xiao Wang, Di Wang, Long Chen, Wenyin Zhu, Yunlong Tian, Huansheng Ning, Fei-Yue Wang:
Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering. IEEE Trans. Comput. Soc. Syst. 11(1): 1035-1045 (2024) - Kai Li, Jingjing Zheng, Xin Yuan, Wei Ni, Özgür B. Akan, H. Vincent Poor:
Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach. IEEE Trans. Inf. Forensics Secur. 19: 3465-3480 (2024) - Taolin Zhang, Chengyuan Mai, Yaomin Chang, Chuan Chen, Lin Shu, Zibin Zheng:
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. ACM Trans. Knowl. Discov. Data 18(2): 40:1-40:27 (2024) - Jinyin Chen, Minying Ma, Haonan Ma, Haibin Zheng, Jian Zhang:
An Empirical Evaluation of the Data Leakage in Federated Graph Learning. IEEE Trans. Netw. Sci. Eng. 11(2): 1605-1618 (2024) - Nimesh Agrawal, Anuj Kumar Sirohi, Sandeep Kumar, Jayadeva:
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation. AAAI 2024: 10775-10783 - Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang:
Towards Fair Graph Federated Learning via Incentive Mechanisms. AAAI 2024: 14499-14507 - Guancheng Wan, Wenke Huang, Mang Ye:
Federated Graph Learning under Domain Shift with Generalizable Prototypes. AAAI 2024: 15429-15437 - Mathieu Even, Anastasia Koloskova, Laurent Massoulié:
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization. AISTATS 2024: 64-72 - Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton:
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. AISTATS 2024: 1342-1350 - Ang Li, Yawen Li, Zhe Xue, Zeli Guan, Mengyu Zhuang:
Learning Hierarchy-Aware Federated Graph Embedding for Link Prediction. BigComp 2024: 329-336 - Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma:
Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) 2024: 155-167 - Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi:
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. WWW 2024: 3919-3929 - Enyuan Zhou, Song Guo, Zhixiu Ma, Zicong Hong, Tao Guo, Peiran Dong:
Poisoning Attack on Federated Knowledge Graph Embedding. WWW 2024: 1998-2008
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