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Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization

Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization

8 May 2025
Zhuang Qi
Sijin Zhou
Lei Meng
Han Hu
Han Yu
Xiangxu Meng
    FedML
    CML
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Papers citing "Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization"

35 / 35 papers shown
Title
Federated Out-of-Distribution Generalization: A Causal Augmentation View
Federated Out-of-Distribution Generalization: A Causal Augmentation View
Runhui Zhang
Sijin Zhou
Zhuang Qi
OOD
FedML
120
1
0
28 Apr 2025
Global Intervention and Distillation for Federated Out-of-Distribution Generalization
Global Intervention and Distillation for Federated Out-of-Distribution Generalization
Zhuang Qi
Runhui Zhang
Lei Meng
Wei Wu
Yachong Zhang
Xiangxu Meng
FedML
117
1
0
01 Apr 2025
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation Models
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Yu Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
133
7
0
14 Feb 2025
FOOGD: Federated Collaboration for Both Out-of-distribution
  Generalization and Detection
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
Xinting Liao
Weiming Liu
Pengyang Zhou
Fengyuan Yu
Jiahe Xu
Jun Wang
Wenjie Wang
Chaochao Chen
Xiaolin Zheng
FedML
OODD
72
4
0
15 Oct 2024
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
65
2
0
15 Oct 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
219
1
0
25 Jul 2024
Federated Model Heterogeneous Matryoshka Representation Learning
Federated Model Heterogeneous Matryoshka Representation Learning
Liping Yi
Han Yu
Chao Ren
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
FedML
114
9
0
01 Jun 2024
Cross-Training with Multi-View Knowledge Fusion for Heterogenous
  Federated Learning
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning
Zhuang Qi
Lei Meng
Weihao He
Ruohan Zhang
Yu Wang
Xin Qi
Xiangxu Meng
FedML
65
5
0
30 May 2024
Fair Federated Learning under Domain Skew with Local Consistency and
  Domain Diversity
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen
Wenke Huang
Mang Ye
FedML
81
19
0
26 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with
  Non-IID Data
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Mahdi Morafah
M. Reisser
Bill Lin
Christos Louizos
FedML
76
6
0
13 May 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
89
8
0
05 Jan 2024
StableFDG: Style and Attention Based Learning for Federated Domain
  Generalization
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
Jun-Gyu Park
Dong-Jun Han
Jinho Kim
Jianing Zhang
Christopher G. Brinton
Jaekyun Moon
OOD
FedML
86
17
0
01 Nov 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated
  Learning
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
Kangyang Luo
Shuai Wang
Y. Fu
Xiang Li
Yunshi Lan
Minghui Gao
FedML
75
27
0
24 Sep 2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID
  Data
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data
Zhuang Qi
Lei Meng
Zitan Chen
Han Hu
Hui Lin
Xiangxu Meng
FedML
74
21
0
07 Aug 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header
FedGH: Heterogeneous Federated Learning with Generalized Global Header
Liping Yi
Gang Wang
Xiaoguang Liu
Zhuan Shi
Han Yu
FedML
102
78
0
23 Mar 2023
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set
  Object Detection
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Shilong Liu
Zhaoyang Zeng
Tianhe Ren
Feng Li
Hao Zhang
...
Chun-yue Li
Jianwei Yang
Hang Su
Jun Zhu
Lei Zhang
ObjD
182
1,971
0
09 Mar 2023
GitFL: Adaptive Asynchronous Federated Learning using Version Control
GitFL: Adaptive Asynchronous Federated Learning using Version Control
Ming Hu
Zeke Xia
Zhihao Yue
Jun Xia
Yihao Huang
Yang Liu
Mingsong Chen
FedML
90
15
0
22 Nov 2022
FedFA: Federated Learning with Feature Anchors to Align Features and
  Classifiers for Heterogeneous Data
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data
Tailin Zhou
Jun Zhang
Danny H. K. Tsang
FedML
66
60
0
17 Nov 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain
  Adaptation in Clustered Federated Learning
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
Donald Shenaj
Eros Fani
Marco Toldo
Debora Caldarola
A. Tavera
Umberto Michieli
Marco Ciccone
Pietro Zanuttigh
Barbara Caputo
FedML
75
39
0
05 Oct 2022
Federated Domain Generalization for Image Recognition via Cross-Client
  Style Transfer
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer
Junming Chen
Meirui Jiang
Qianming Dou
Qifeng Chen
FedML
OOD
63
46
0
03 Oct 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Yuqing Wang
Xiangxian Li
Zhuang Qi
Jingyu Li
Xuelong Li
Xiangxu Meng
Lei Meng
OOD
OODD
BDL
90
25
0
22 Aug 2022
Mitigating Data Heterogeneity in Federated Learning with Data
  Augmentation
Mitigating Data Heterogeneity in Federated Learning with Data Augmentation
George Giapitzakis
Guojun Zhang
Xi Chen
Yaoliang Yu
FedML
88
31
0
20 Jun 2022
Disentangled Federated Learning for Tackling Attributes Skew via
  Invariant Aggregation and Diversity Transferring
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Zhengquan Luo
Yunlong Wang
Zilei Wang
Zhenan Sun
Tieniu Tan
FedML
76
44
0
14 Jun 2022
CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated
  Learning
CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning
Filip Ślazyk
Przemysław Jabłecki
Aneta Lisowska
Maciej Malawski
Szymon Płotka
FedML
38
9
0
11 Apr 2022
Feature Distribution Matching for Federated Domain Generalization
Feature Distribution Matching for Federated Domain Generalization
Yuwei Sun
Ng Chong
H. Ochiai
OOD
50
30
0
22 Mar 2022
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
Xutong Mu
Yulong Shen
Ke Cheng
Xueli Geng
Jiaxuan Fu
Tao Zhang
Zhiwei Zhang
FedML
86
170
0
25 Sep 2021
Causal Attention for Unbiased Visual Recognition
Causal Attention for Unbiased Visual Recognition
Tan Wang
Chan Zhou
Qianru Sun
Hanwang Zhang
OOD
CML
86
113
0
19 Aug 2021
Model-Contrastive Federated Learning
Model-Contrastive Federated Learning
Qinbin Li
Bingsheng He
D. Song
FedML
85
1,039
0
30 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via
  Episodic Learning in Continuous Frequency Space
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Quande Liu
Cheng Chen
J. Qin
Qi Dou
Pheng-Ann Heng
OOD
FedML
156
438
0
10 Mar 2021
Multi-source Domain Adaptation for Visual Sentiment Classification
Multi-source Domain Adaptation for Visual Sentiment Classification
Chuang Lin
Sicheng Zhao
Lei Meng
Tat-Seng Chua
64
70
0
12 Jan 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
256
6,261
0
10 Dec 2019
Federated Optimization in Heterogeneous Networks
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
180
5,184
0
14 Dec 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
297
20,023
0
07 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,486
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
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