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. 2405.16585
  4. Cited By
Fair Federated Learning under Domain Skew with Local Consistency and
  Domain Diversity

Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity

26 May 2024
Yuhang Chen
Wenke Huang
Mang Ye
    FedML
ArXivPDFHTML

Papers citing "Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity"

15 / 15 papers shown
Title
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Zhuang Qi
Sijin Zhou
Lei Meng
Han Hu
Han Yu
Xiangxu Meng
FedML
CML
40
0
0
08 May 2025
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
Shuai Gong
C. Cui
Xiaolin Dong
Xiushan Nie
Lei Zhu
Xiaojun Chang
FedML
MoE
49
0
0
29 Apr 2025
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
73
0
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
X. Meng
FedML
60
0
0
01 Apr 2025
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation
Yumin Zhang
Yan Gao
Haoran Duan
Hanqing Guo
Tejal Shah
R. Ranjan
Bo Wei
FedML
68
0
0
19 Mar 2025
Federated Learning with Domain Shift Eraser
Federated Learning with Domain Shift Eraser
Z. Wang
Zihui Wang
Z. Wang
Xiaoliang Fan
Cheng-Yu Wang
FedML
47
0
0
17 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
70
0
0
09 Mar 2025
Tackling Data Heterogeneity in Federated Time Series Forecasting
Tackling Data Heterogeneity in Federated Time Series Forecasting
Wei Yuan
Guanhua Ye
Xiangyu Zhao
Quoc Viet Hung Nguyen
Yang Cao
Hongzhi Yin
AI4TS
69
0
0
24 Nov 2024
Vertical Federated Learning for Effectiveness, Security, Applicability:
  A Survey
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye
Wei Shen
Bo Du
E. Snezhko
Vassili Kovalev
PongChi Yuen
FedML
68
3
0
25 May 2024
Federated Learning for Generalization, Robustness, Fairness: A Survey
  and Benchmark
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
Wenke Huang
Mang Ye
Zekun Shi
Guancheng Wan
He Li
Bo Du
Qiang Yang
FedML
OOD
68
75
0
12 Nov 2023
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical
  Image Classification
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
Nannan Wu
Li Yu
Xin Yang
Kwang-Ting Cheng
Zengqiang Yan
FedML
32
19
0
28 Jun 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
33
161
0
25 Sep 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
141
287
0
01 May 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
165
267
0
26 Feb 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
770
0
15 Feb 2021
1