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Distributed Additive Encryption and Quantization for Privacy Preserving
  Federated Deep Learning

Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning

25 November 2020
Hangyu Zhu
Rui Wang
Yaochu Jin
K. Liang
Jianting Ning
    FedML
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Papers citing "Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning"

4 / 4 papers shown
Title
FedLess: Secure and Scalable Federated Learning Using Serverless
  Computing
FedLess: Secure and Scalable Federated Learning Using Serverless Computing
Andreas Grafberger
Mohak Chadha
Anshul Jindal
Jianfeng Gu
Michael Gerndt
36
49
0
05 Nov 2021
Vertical federated learning based on DFP and BFGS
Vertical federated learning based on DFP and BFGS
Wenjie Song
Xuan Shen
FedML
11
6
0
23 Jan 2021
Real-time Federated Evolutionary Neural Architecture Search
Real-time Federated Evolutionary Neural Architecture Search
Hangyu Zhu
Yaochu Jin
FedML
131
71
0
04 Mar 2020
Privacy preserving distributed optimization using homomorphic encryption
Privacy preserving distributed optimization using homomorphic encryption
Yang Lu
Minghui Zhu
33
161
0
01 May 2018
1