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Enhancing Privacy via Hierarchical Federated Learning

Enhancing Privacy via Hierarchical Federated Learning

23 April 2020
A. Wainakh
Alejandro Sánchez Guinea
Tim Grube
M. Mühlhäuser
    FedML
ArXivPDFHTML

Papers citing "Enhancing Privacy via Hierarchical Federated Learning"

6 / 6 papers shown
Title
Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates
Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates
Abdulmoneam Ali
A. Arafa
FedML
34
4
0
09 Feb 2023
Group Personalized Federated Learning
Group Personalized Federated Learning
Zhe Liu
Yue Hui
Fuchun Peng
FedML
26
2
0
04 Oct 2022
Federated learning and next generation wireless communications: A survey
  on bidirectional relationship
Federated learning and next generation wireless communications: A survey on bidirectional relationship
Debaditya Shome
Omer Waqar
Wali Ullah Khan
26
31
0
14 Oct 2021
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
173
411
0
14 Jul 2021
From Distributed Machine Learning to Federated Learning: A Survey
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
44
243
0
29 Apr 2021
Prochlo: Strong Privacy for Analytics in the Crowd
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
83
278
0
02 Oct 2017
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