Federated Graph Machine Learning: A Survey of Concepts, Techniques, and
Applications

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications

24 July 2022

Papers citing "Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications"

15 / 15 papers shown

Title
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 16 16 0 22 Jan 2024
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 14 9 0 03 Feb 2023
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks Guannan Lou Yuze Liu Tiehua Zhang Xi Zheng FedML 50 14 0 12 Nov 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 71 32 0 13 Oct 2021
A Graph Federated Architecture with Privacy Preserving Learning Elsa Rizk A. H. Sayed FedML 26 21 0 26 Apr 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 180 832 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 59 38 0 14 Feb 2021
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates Mustafa Burak Gurbuz I. Rekik 15 24 0 28 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 70 115 0 08 Dec 2020
Federated Bandit: A Gossiping Approach Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu FedML 129 83 0 24 Oct 2020
Line Graph Neural Networks for Link Prediction Lei Cai Jundong Li Jie Wang Shuiwang Ji GNN 130 194 0 20 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 156 553 0 27 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 154 1,748 0 02 Mar 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016