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Adam in Private: Secure and Fast Training of Deep Neural Networks with
  Adaptive Moment Estimation

Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation

4 June 2021
Nuttapong Attrapadung
Koki Hamada
Dai Ikarashi
Ryo Kikuchi
Takahiro Matsuda
Ibuki Mishina
Hiraku Morita
Jacob C. N. Schuldt
ArXivPDFHTML

Papers citing "Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation"

4 / 4 papers shown
Title
HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning
HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning
Wenqiang Ruan
Xin Lin
Ruisheng Zhou
Guopeng Lin
Shui Yu
Weili Han
45
0
0
16 Feb 2025
Report: State of the Art Solutions for Privacy Preserving Machine
  Learning in the Medical Context
Report: State of the Art Solutions for Privacy Preserving Machine Learning in the Medical Context
J. Zalonis
Frederik Armknecht
Björn Grohmann
Manuel Koch
30
4
0
27 Jan 2022
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Sijun Tan
Brian Knott
Yuan Tian
David J. Wu
BDL
FedML
57
183
0
22 Apr 2021
CrypTFlow: Secure TensorFlow Inference
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
99
235
0
16 Sep 2019
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