Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning

13 July 2021

Papers citing "Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning"

21 / 21 papers shown

Title
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook Eren Kurshan Hongda Shen GNN 46 33 0 02 Mar 2021
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 181 319 0 17 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network Longfei Zheng Jun Zhou Chaochao Chen Bingzhe Wu L. xilinx Wang Benyu Zhang FedML GNN 61 72 0 06 Nov 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching D. Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora FedML 62 367 0 15 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 116 1,485 0 04 Jul 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning Suyu Ge Fangzhao Wu Chuhan Wu Tao Qi Yongfeng Huang Xing Xie 194 57 0 20 Mar 2020
Federated Visual Classification with Real-World Data Distribution T. Hsu Qi Matthew Brown FedML 116 201 0 18 Mar 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 232 6,247 0 10 Dec 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 76 171 0 15 Oct 2019
Detailed comparison of communication efficiency of split learning and federated learning Abhishek Singh Praneeth Vepakomma O. Gupta Ramesh Raskar FedML 51 189 0 18 Sep 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 72 2,311 0 13 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 750 8,517 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,515 0 20 Dec 2018
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 707 0 03 Dec 2018
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 54 605 0 14 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 236 7,638 0 01 Oct 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 149 2,567 0 02 Jun 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 466 20,124 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 487 15,232 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 586 7,441 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 612 29,032 0 09 Sep 2016