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PrivacyFL: A simulator for privacy-preserving and secure federated
  learning

PrivacyFL: A simulator for privacy-preserving and secure federated learning

19 February 2020
Vaikkunth Mugunthan
Anton Peraire-Bueno
Lalana Kagal
    FedML
ArXivPDFHTML

Papers citing "PrivacyFL: A simulator for privacy-preserving and secure federated learning"

3 / 3 papers shown
Title
Towards Federated Learning at Scale: System Design
Towards Federated Learning at Scale: System Design
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
...
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
FedML
85
2,652
0
04 Feb 2019
Exploiting Unintended Feature Leakage in Collaborative Learning
Exploiting Unintended Feature Leakage in Collaborative Learning
Luca Melis
Congzheng Song
Emiliano De Cristofaro
Vitaly Shmatikov
FedML
128
1,461
0
10 May 2018
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
200
4,075
0
18 Oct 2016
1