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Reliable Federated Disentangling Network for Non-IID Domain Feature

Reliable Federated Disentangling Network for Non-IID Domain Feature

30 January 2023
M. Wang
Kai-An Yu
Chun-Mei Feng
Yiming Qian
K. Zou
Lianyu Wang
Rick Siow Mong Goh
Yong-Jin Liu
H. Fu
    OOD
ArXivPDFHTML

Papers citing "Reliable Federated Disentangling Network for Non-IID Domain Feature"

3 / 3 papers shown
Title
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
784
0
15 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1