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A Secure Federated Learning Framework for 5G Networks

A Secure Federated Learning Framework for 5G Networks

12 May 2020
Yi Liu
Jia-Jie Peng
Jiawen Kang
Abdullah M. Iliyasu
Dusit Niyato
A. El-latif
    FedML
ArXiv (abs)PDFHTML

Papers citing "A Secure Federated Learning Framework for 5G Networks"

7 / 7 papers shown
Title
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation
Heqing Ren
Chao Feng
Alberto Huertas
Burkhard Stiller
67
0
0
11 May 2025
Reliable Federated Learning for Mobile Networks
Reliable Federated Learning for Mobile Networks
Jiawen Kang
Zehui Xiong
Dusit Niyato
Y. Zou
Yang Zhang
Mohsen Guizani
FedML
50
463
0
14 Oct 2019
Federated Learning: Challenges, Methods, and Future Directions
Federated Learning: Challenges, Methods, and Future Directions
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
123
4,530
0
21 Aug 2019
Trustless Machine Learning Contracts; Evaluating and Exchanging Machine
  Learning Models on the Ethereum Blockchain
Trustless Machine Learning Contracts; Evaluating and Exchanging Machine Learning Models on the Ethereum Blockchain
A. Krizhevsky
Geoffrey E. Hinton
SyDa
44
109
0
27 Feb 2018
Differentially Private Federated Learning: A Client Level Perspective
Differentially Private Federated Learning: A Client Level Perspective
Robin C. Geyer
T. Klein
Moin Nabi
FedML
133
1,297
0
20 Dec 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLRMIALMMIACV
263
4,152
0
18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,486
0
17 Feb 2016
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