ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.01334
  4. Cited By
Federated Domain Generalization: A Survey

Federated Domain Generalization: A Survey

2 June 2023
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
    OOD
    FedML
    AI4CE
ArXivPDFHTML

Papers citing "Federated Domain Generalization: A Survey"

27 / 27 papers shown
Title
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Yiyuan Yang
Guodong Long
Tianyi Zhou
Qinghua Lu
Shanshan Ye
Jing Jiang
OODD
130
1
0
02 May 2025
FedCCRL: Federated Domain Generalization with Cross-Client
  Representation Learning
FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning
Xinpeng Wang
Xiaoying Tang
Xiaoying Tang
FedML
18
2
0
15 Oct 2024
Intelligent Cross-Organizational Process Mining: A Survey and New
  Perspectives
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives
Yiyuan Yang
Zheshun Wu
Yong Chu
Zhenghua Chen
Zenglin Xu
Qingsong Wen
19
0
0
15 Jul 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Farhad Pourpanah
Mahdiyar Molahasani
Milad Soltany
Michael A. Greenspan
Ali Etemad
FedML
OOD
78
2
0
25 May 2024
Enhancing One-Shot Federated Learning Through Data and Ensemble
  Co-Boosting
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
Rong Dai
Yonggang Zhang
Ang Li
Tongliang Liu
Xun Yang
Bo Han
FedML
74
12
0
23 Feb 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for
  Federated Domain Generalization
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Yikang Wei
Yahong Han
63
8
0
05 Jan 2024
CommunityAI: Towards Community-based Federated Learning
CommunityAI: Towards Community-based Federated Learning
Ilir Murturi
Praveen Kumar Donta
Schahram Dustdar
FedML
22
1
0
29 Nov 2023
Domain Generalization for Medical Image Analysis: A Survey
Domain Generalization for Medical Image Analysis: A Survey
Jee Seok Yoon
Kwanseok Oh
Yooseung Shin
Maciej A Mazurowski
Heung-Il Suk
LM&MA
OOD
35
8
0
05 Oct 2023
Federated Gradient Matching Pursuit
Federated Gradient Matching Pursuit
Halyun Jeong
Deanna Needell
Jing Qin
FedML
35
1
0
20 Feb 2023
Domain Generalization -- A Causal Perspective
Domain Generalization -- A Causal Perspective
Paras Sheth
Raha Moraffah
K. S. Candan
A. Raglin
Huan Liu
CML
OOD
40
17
0
30 Sep 2022
FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for
  Federated Learning on Non-IID Data
FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data
Mike He Zhu
Léna Néhale Ezzine
Dianbo Liu
Yoshua Bengio
OOD
FedML
13
4
0
19 May 2022
FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality
  Brain Image Synthesis
FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis
Jinbao Wang
Guoyang Xie
Yawen Huang
Yuexiang Li
Yefeng Zheng
Feng Zheng
Yaochu Jin
FedML
MedIm
48
47
0
22 Jan 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
873
0
21 Oct 2021
FedDPGAN: Federated Differentially Private Generative Adversarial
  Networks Framework for the Detection of COVID-19 Pneumonia
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
FedML
MedIm
71
80
0
26 Apr 2021
Gradient Matching for Domain Generalization
Gradient Matching for Domain Generalization
Yuge Shi
Jeffrey S. Seely
Philip H. S. Torr
Siddharth Narayanaswamy
Awni Y. Hannun
Nicolas Usunier
Gabriel Synnaeve
OOD
205
292
0
20 Apr 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
183
840
0
01 Mar 2021
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
786
0
15 Feb 2021
GraphFL: A Federated Learning Framework for Semi-Supervised Node
  Classification on Graphs
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang
Ang Li
H. Li
Yiran Chen
72
115
0
08 Dec 2020
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view
  Training
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
Yan Kang
Yang Liu
Xinle Liang
FedML
60
50
0
25 Aug 2020
Robust and Generalizable Visual Representation Learning via Random
  Convolutions
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OOD
AAML
41
190
0
25 Jul 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
186
542
0
30 Mar 2020
Domain Adaptive Ensemble Learning
Domain Adaptive Ensemble Learning
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OOD
137
273
0
16 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
157
760
0
28 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,344
0
12 Dec 2018
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,677
0
09 Mar 2017
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,316
0
28 May 2015
1