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Proof of Federated Training: Accountable Cross-Network Model Training
  and Inference

Proof of Federated Training: Accountable Cross-Network Model Training and Inference

14 April 2022
Sarthak Chakraborty
Sandip Chakraborty
    FedML
ArXivPDFHTML

Papers citing "Proof of Federated Training: Accountable Cross-Network Model Training and Inference"

3 / 3 papers shown
Title
A Systematic Literature Review on Federated Machine Learning: From A
  Software Engineering Perspective
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo
Qinghua Lu
Chen Wang
Hye-Young Paik
Liming Zhu
FedML
48
83
0
22 Jul 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,032
0
29 Nov 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,572
0
17 Apr 2017
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