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Bayesian Federated Model Compression for Communication and Computation
  Efficiency

Bayesian Federated Model Compression for Communication and Computation Efficiency

11 April 2024
Cheng-Gang Xia
Danny H. K. Tsang
Vincent K. N. Lau
ArXivPDFHTML

Papers citing "Bayesian Federated Model Compression for Communication and Computation Efficiency"

3 / 3 papers shown
Title
A Bayesian Federated Learning Framework with Online Laplace
  Approximation
A Bayesian Federated Learning Framework with Online Laplace Approximation
Liang Liu
Xi Jiang
Feng Zheng
Hong Chen
Guo-Jun Qi
Heng-Chiao Huang
Ling Shao
FedML
48
54
0
03 Feb 2021
Ternary Compression for Communication-Efficient Federated Learning
Ternary Compression for Communication-Efficient Federated Learning
Jinjin Xu
W. Du
Ran Cheng
Wangli He
Yaochu Jin
MQ
FedML
47
174
0
07 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
176
764
0
28 Sep 2019
1