Federated Graph Neural Networks: Overview, Techniques and Challenges

15 February 2022

Anran Li

Papers citing "Federated Graph Neural Networks: Overview, Techniques and Challenges"

20 / 20 papers shown

Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 84 1 0 06 Mar 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang Peng Chen Zhihui Lu Ruijun Deng Qiang Duan Jianping Zeng AAML FedML 129 0 0 15 Oct 2024
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 26 9 0 10 Jul 2023
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 52 4 0 19 Sep 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 28 35 0 24 Jul 2022
An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning Tiehua Zhang Yuze Liu Zhishu Shen Ruiqian Xu Xin Chen Xiaowei Huang Xi Zheng FedML AI4TS 27 9 0 07 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Power Allocation for Wireless Federated Learning using Graph Neural Networks Boning Li A. Swami Santiago Segarra FedML 52 12 0 15 Nov 2021
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks Guannan Lou Yuze Liu Tiehua Zhang Xi Zheng FedML 57 14 0 12 Nov 2021
FedMe: Federated Learning via Model Exchange Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka FedML 43 19 0 15 Oct 2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning Jinyin Chen Guohan Huang Haibin Zheng Shanqing Yu Wenrong Jiang Chen Cui AAML FedML 74 32 0 13 Oct 2021
A Graph Federated Architecture with Privacy Preserving Learning Elsa Rizk A. H. Sayed FedML 31 21 0 26 Apr 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization Canh T. Dinh Thanh Tung Vu N. H. Tran Minh N. Dao Hongyu Zhang FedML 65 40 0 14 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 591 0 31 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 85 115 0 08 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017