Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1909.12946
Cited By
Towards Federated Graph Learning for Collaborative Financial Crimes Detection
19 September 2019
Toyotaro Suzumura
Yi Zhou
Natahalie Barcardo
Guangann Ye
Keith Houck
Ryo Kawahara
Ali Anwar
Lucia Larise Stavarache
Yuji Watanabe
Pablo S. Loyola
Daniel Klyashtorny
Heiko Ludwig
Kumar Bhaskaran
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Towards Federated Graph Learning for Collaborative Financial Crimes Detection"
35 / 35 papers shown
Title
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
Yang Chen
Bin Zhou
AAML
FedML
43
0
0
24 Feb 2025
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks
Siddharth Ambekar
Yuhang Yao
Ryan Li
Carlee Joe-Wong
FedML
80
0
0
20 Dec 2024
Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning
Jinyin Chen
Wenbo Mu
Luxin Zhang
Guohan Huang
Haibin Zheng
Yao Cheng
FedML
AAML
25
0
0
05 Nov 2024
AI versus AI in Financial Crimes and Detection: GenAI Crime Waves to Co-Evolutionary AI
Eren Kurshan
Dhagash Mehta
Bayan Bruss
Tucker Balch
24
0
0
30 Sep 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
Ziwei Li
Xiaoqi Wang
Hong-You Chen
Han-Wei Shen
Wei-Lun Chao
FedML
34
0
0
17 Sep 2024
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
Zhuoning Guo
Duanyi Yao
Qiang Yang
Hao Liu
FedML
27
3
0
15 Jun 2024
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh V. Chawla
Wenlin Yao
45
7
0
17 May 2024
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection
Aydin Abadi
Bradley Doyle
Francesco Gini
Kieron Guinamard
S. K. Murakonda
...
Steven J. Murdoch
Mohammad Naseri
Hector Page
George Theodorakopoulos
Suzanne Weller
44
6
0
19 Jan 2024
A Framework for Exploring Federated Community Detection
Will Leeney
Ryan McConville
FedML
31
2
0
14 Dec 2023
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
Nan Cui
Xiuling Wang
Wendy Hui Wang
Violet Chen
Yue Ning
FedML
19
3
0
18 Oct 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
Zhirui Pan
Guangzhong Wang
Zhaoning Li
Lifeng Chen
Yang Bian
Zhongyuan Lai
FedML
40
2
0
12 Oct 2023
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation
Sunpreet S. Arora
Andrew Beams
Panagiotis Chatzigiannis
Sebastian Meiser
Karan Patel
...
Harshal Shah
Yizhen Wang
Yuhang Wu
Hao Yang
Mahdi Zamani
FedML
16
3
0
06 Oct 2023
Federated Generative Learning with Foundation Models
Jie Zhang
Xiaohua Qi
Bo Zhao
FedML
44
21
0
28 Jun 2023
Privacy-Enhancing Technologies for Financial Data Sharing
Panagiotis Chatzigiannis
Wanyun Catherine Gu
Srinivasan Raghuraman
Peter Rindal
M. Zamani
21
2
0
16 Jun 2023
Graph Mining for Cybersecurity: A Survey
Bo Yan
Cheng Yang
Chuan Shi
Yong Fang
Qi Li
Yanfang Ye
Junping Du
42
12
0
02 Apr 2023
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan
Yixin Liu
Guodong Long
Jing Jiang
Qinghua Lu
Chengqi Zhang
FedML
52
126
0
23 Nov 2022
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach
G. Bertoli
Lourencco Alves Pereira Junior
A. Santos
O. Saotome
FedML
35
54
0
01 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
38
35
0
24 Jul 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
Zhen Wang
Weirui Kuang
Yuexiang Xie
Liuyi Yao
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
21
77
0
12 Apr 2022
Asynchronous Collaborative Learning Across Data Silos
Tiffany Tuor
J. Lockhart
Daniele Magazzeni
FedML
37
3
0
23 Mar 2022
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data
Shadi Rahimian
Raouf Kerkouche
I. Kurth
Mario Fritz
FedML
22
11
0
08 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks
Jing Xu
Rui Wang
Stefanos Koffas
K. Liang
S. Picek
FedML
AAML
39
25
0
07 Feb 2022
FedGraph: Federated Graph Learning with Intelligent Sampling
Fahao Chen
Peng Li
T. Miyazaki
Celimuge Wu
FedML
24
78
0
02 Nov 2021
Enabling SQL-based Training Data Debugging for Federated Learning
Yejia Liu
Weiyuan Wu
Lampros Flokas
Jiannan Wang
Eugene Wu
FedML
23
15
0
26 Aug 2021
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
FedML
22
119
0
09 Jun 2021
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
Chaoyang He
Emir Ceyani
Keshav Balasubramanian
M. Annavaram
Salman Avestimehr
FedML
25
50
0
04 Jun 2021
Federated Graph Learning -- A Position Paper
Hu Zhang
T. Shen
Fei Wu
Mingyang Yin
Hongxia Yang
Chao Wu
FedML
16
49
0
24 May 2021
OpenFL: An open-source framework for Federated Learning
G. A. Reina
Alexey Gruzdev
Patrick Foley
O. Perepelkina
Mansi Sharma
...
Sarthak Pati
Prakash Narayana Moorthy
Shih-Han Wang
Prashant Shah
Spyridon Bakas
FedML
AIFin
28
107
0
13 May 2021
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
51
244
0
29 Apr 2021
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges
Zhaohua Zheng
Yize Zhou
Yilong Sun
Zhang Wang
Boyi Liu
Keqiu Li
28
102
0
02 Feb 2021
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study
Ning Ge
Guanghao Li
Li Zhang
Yi Liu
FedML
29
45
0
25 Jan 2021
Mitigating Bias in Federated Learning
Annie Abay
Yi Zhou
Nathalie Baracaldo
Shashank Rajamoni
Ebube Chuba
Heiko Ludwig
AI4CE
13
87
0
04 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective
Yi Liu
Li Zhang
Ning Ge
Guanghao Li
FedML
36
22
0
01 Dec 2020
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty
Yilun Lin
Chaochao Chen
Cen Chen
Li Wang
FedML
30
8
0
23 Nov 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig
Nathalie Baracaldo
Gegi Thomas
Yi Zhou
Ali Anwar
...
Sean Laguna
Mikhail Yurochkin
Mayank Agarwal
Ebube Chuba
Annie Abay
FedML
131
157
0
22 Jul 2020
1