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Federated Learning via Variational Bayesian Inference: Personalization,
  Sparsity and Clustering

Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering

8 March 2023
Xu Zhang
Wenpeng Li
Yunfeng Shao
Yinchuan Li
    FedML
ArXivPDFHTML

Papers citing "Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering"

14 / 14 papers shown
Title
Federated Learning via Posterior Averaging: A New Perspective and
  Practical Algorithms
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Maruan Al-Shedivat
Jennifer Gillenwater
Eric Xing
Afshin Rostamizadeh
FedML
93
110
0
11 Oct 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
Hong-You Chen
Wei-Lun Chao
FedML
54
260
0
04 Sep 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching
FetchSGD: Communication-Efficient Federated Learning with Sketching
D. Rothchild
Ashwinee Panda
Enayat Ullah
Nikita Ivkin
Ion Stoica
Vladimir Braverman
Joseph E. Gonzalez
Raman Arora
FedML
60
367
0
15 Jul 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Laurent Valentin Jospin
Wray Buntine
F. Boussaïd
Hamid Laga
Bennamoun
OOD
BDL
UQCV
77
625
0
14 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang
Lingyang Chu
Zirui Zhou
Lanjun Wang
Jiangchuan Liu
J. Pei
Yong Zhang
FedML
79
607
0
07 Jul 2020
An Efficient Framework for Clustered Federated Learning
An Efficient Framework for Clustered Federated Learning
Avishek Ghosh
Jichan Chung
Dong Yin
Kannan Ramchandran
FedML
56
857
0
07 Jun 2020
Federated Learning with Personalization Layers
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
84
837
0
02 Dec 2019
Convergence Rates of Variational Inference in Sparse Deep Learning
Convergence Rates of Variational Inference in Sparse Deep Learning
Badr-Eddine Chérief-Abdellatif
BDL
65
38
0
09 Aug 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
58
1,353
0
07 Mar 2019
Local SGD Converges Fast and Communicates Little
Local SGD Converges Fast and Communicates Little
Sebastian U. Stich
FedML
164
1,061
0
24 May 2018
Posterior Concentration for Sparse Deep Learning
Posterior Concentration for Sparse Deep Learning
Nicholas G. Polson
Veronika Rockova
UQCV
BDL
160
88
0
24 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
246
8,856
0
25 Aug 2017
Nonparametric regression using deep neural networks with ReLU activation
  function
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
202
810
0
22 Aug 2017
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
234
4,778
0
04 Jan 2016
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