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Federated Graph Analytics with Differential Privacy

Federated Graph Analytics with Differential Privacy

31 May 2024
Shang Liu
Yang Cao
Takao Murakami
Weiran Liu
Seng Pei Liew
Tsubasa Takahashi
Jinfei Liu
Masatoshi Yoshikawa
    FedML
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Papers citing "Federated Graph Analytics with Differential Privacy"

5 / 5 papers shown
Title
Cross-silo Federated Learning with Record-level Personalized
  Differential Privacy
Cross-silo Federated Learning with Record-level Personalized Differential Privacy
Junxu Liu
Jian Lou
Li Xiong
Jinfei Liu
Xiaofeng Meng
31
5
0
29 Jan 2024
Secure Shapley Value for Cross-Silo Federated Learning (Technical
  Report)
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
FedML
69
24
0
11 Sep 2022
Communication-Efficient Triangle Counting under Local Differential
  Privacy
Communication-Efficient Triangle Counting under Local Differential Privacy
Jacob Imola
Takao Murakami
Kamalika Chaudhuri
34
31
0
13 Oct 2021
Community Preserved Social Graph Publishing with Node Differential
  Privacy
Community Preserved Social Graph Publishing with Node Differential Privacy
Sen Zhang
Weiwei Ni
Nan Fu
38
17
0
05 Jan 2021
Locally Differentially Private Analysis of Graph Statistics
Locally Differentially Private Analysis of Graph Statistics
Jacob Imola
Takao Murakami
Kamalika Chaudhuri
70
93
0
17 Oct 2020
1