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Privacy-Preserving Graph Machine Learning from Data to Computation: A
  Survey

Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey

10 July 2023
Dongqi Fu
Wenxuan Bao
Ross Maciejewski
Hanghang Tong
Jingrui He
ArXivPDFHTML

Papers citing "Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey"

11 / 11 papers shown
Title
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Qian Xu
Lei Zhang
Y. Liu
14
0
0
10 May 2025
Joint Optimal Transport and Embedding for Network Alignment
Joint Optimal Transport and Embedding for Network Alignment
Qi Yu
Zhichen Zeng
Yuchen Yan
Lei Ying
R. Srikant
Hanghang Tong
OT
142
0
0
26 Feb 2025
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Ruizhong Qiu
Hanghang Tong
32
3
0
27 May 2024
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
15
18
0
29 Dec 2022
Privacy-preserving Graph Analytics: Secure Generation and Federated
  Learning
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning
Dongqi Fu
Jingrui He
Hanghang Tong
Ross Maciejewski
14
4
0
30 Jun 2022
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
167
410
0
14 Jul 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
180
832
0
01 Mar 2021
Device Sampling for Heterogeneous Federated Learning: Theory,
  Algorithms, and Implementation
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
77
108
0
04 Jan 2021
GraphFL: A Federated Learning Framework for Semi-Supervised Node
  Classification on Graphs
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang
Ang Li
H. Li
Yiran Chen
72
115
0
08 Dec 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
169
1,877
0
02 Feb 2020
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
237
11,568
0
09 Mar 2017
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