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DNN gradient lossless compression: Can GenNorm be the answer?

DNN gradient lossless compression: Can GenNorm be the answer?

15 November 2021
Zhongzhu Chen
Eduin E. Hernandez
Yu-Chih Huang
Stefano Rini
ArXivPDFHTML

Papers citing "DNN gradient lossless compression: Can GenNorm be the answer?"

4 / 4 papers shown
Title
M22: A Communication-Efficient Algorithm for Federated Learning Inspired
  by Rate-Distortion
M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion
Yangyi Liu
Stefano Rini
Sadaf Salehkalaibar
Jun Chen
FedML
11
4
0
23 Jan 2023
How to Attain Communication-Efficient DNN Training? Convert, Compress,
  Correct
How to Attain Communication-Efficient DNN Training? Convert, Compress, Correct
Zhongzhu Chen
Eduin E. Hernandez
Yu-Chih Huang
Stefano Rini
MQ
17
0
0
18 Apr 2022
Convert, compress, correct: Three steps toward communication-efficient
  DNN training
Convert, compress, correct: Three steps toward communication-efficient DNN training
Zhongzhu Chen
Eduin E. Hernandez
Yu-Chih Huang
Stefano Rini
15
0
0
17 Mar 2022
Lossy Gradient Compression: How Much Accuracy Can One Bit Buy?
Lossy Gradient Compression: How Much Accuracy Can One Bit Buy?
Sadaf Salehkalaibar
Stefano Rini
FedML
22
4
0
06 Feb 2022
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