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GraphFL: A Federated Learning Framework for Semi-Supervised Node
  Classification on Graphs

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs

8 December 2020
Binghui Wang
Ang Li
H. Li
Yiran Chen
ArXivPDFHTML

Papers citing "GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs"

18 / 18 papers shown
Title
Federated Temporal Graph Clustering
Federated Temporal Graph Clustering
Yang Liu
Z. Zhou
Xianghong Xu
Q. Li
FedML
72
0
0
16 Oct 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in
  Federated Learning
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
Yuxin Yang
Qiang Li
Chenfei Nie
Yuan Hong
Meng Pang
Binghui Wang
AAML
FedML
31
1
0
21 Jul 2024
Privacy-Preserving Graph Machine Learning from Data to Computation: A
  Survey
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
Graph Federated Learning for CIoT Devices in Smart Home Applications
Graph Federated Learning for CIoT Devices in Smart Home Applications
Arash Rasti-Meymandi
S. M. Sheikholeslami
J. Abouei
Konstantinos N. Plataniotis
FedML
19
18
0
29 Dec 2022
Graph Federated Learning with Hidden Representation Sharing
Graph Federated Learning with Hidden Representation Sharing
Shuang Wu
Mingxuan Zhang
Yuantong Li
Carl Yang
Pan Li
FedML
19
1
0
23 Dec 2022
Privacy-Preserved Neural Graph Similarity Learning
Privacy-Preserved Neural Graph Similarity Learning
Yupeng Hou
Wayne Xin Zhao
Yaliang Li
Ji-Rong Wen
25
1
0
21 Oct 2022
Federated Graph-based Networks with Shared Embedding
Federated Graph-based Networks with Shared Embedding
Tianyi Yu
Pei-Ci Lai
Fei Teng
FedML
26
3
0
03 Oct 2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with
  Ego-graphs
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs
Taolin Zhang
Chuan Chen
Yaomin Chang
Lin Shu
Zibin Zheng
FedML
23
14
0
29 Aug 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and
  Applications
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
Xingbo Fu
Binchi Zhang
Yushun Dong
Chen Chen
Jundong Li
FedML
OOD
AI4CE
26
35
0
24 Jul 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
27
25
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
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
Multimodal Federated Learning on IoT Data
Multimodal Federated Learning on IoT Data
Yuchen Zhao
Payam Barnaghi
Hamed Haddadi
11
74
0
10 Sep 2021
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural
  Networks
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
Chaoyang He
Emir Ceyani
Keshav Balasubramanian
M. Annavaram
Salman Avestimehr
FedML
17
50
0
04 Jun 2021
Federated Graph Learning -- A Position Paper
Federated Graph Learning -- A Position Paper
Hu Zhang
T. Shen
Fei Wu
Mingyang Yin
Hongxia Yang
Chao Wu
FedML
6
49
0
24 May 2021
From Distributed Machine Learning to Federated Learning: A Survey
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
44
243
0
29 Apr 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
206
542
0
30 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
317
11,681
0
09 Mar 2017
1