Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yuhang, Huang, Wenke, Ye, Mang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Graph Semantic and Structural Learning
by: Huang, Wenke, et al.
Published: (2024)
by: Huang, Wenke, et al.
Published: (2024)
S2FGL: Spatial Spectral Federated Graph Learning
by: Tan, Zihan, et al.
Published: (2025)
by: Tan, Zihan, et al.
Published: (2025)
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization
by: Jiang, Kai, et al.
Published: (2024)
by: Jiang, Kai, et al.
Published: (2024)
An Enhanced Federated Prototype Learning Method under Domain Shift
by: Kuang, Liang, et al.
Published: (2024)
by: Kuang, Liang, et al.
Published: (2024)
Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes
by: Le, Huy Q., et al.
Published: (2025)
by: Le, Huy Q., et al.
Published: (2025)
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025)
by: Liang, Jian, et al.
Published: (2025)
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
by: Wu, Runqing, et al.
Published: (2025)
by: Wu, Runqing, et al.
Published: (2025)
Federated Graph Learning for Cross-Domain Recommendation
by: Yang, Ziqi, et al.
Published: (2024)
by: Yang, Ziqi, et al.
Published: (2024)
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks
by: Jin, Zhibo, et al.
Published: (2024)
by: Jin, Zhibo, et al.
Published: (2024)
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning
by: Ye, Rongguang, et al.
Published: (2025)
by: Ye, Rongguang, et al.
Published: (2025)
Federated Domain Generalization: A Survey
by: Li, Ying, et al.
Published: (2023)
by: Li, Ying, et al.
Published: (2023)
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
by: Pourpanah, Farhad, et al.
Published: (2024)
by: Pourpanah, Farhad, et al.
Published: (2024)
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
by: Zhang, Jingyuan, et al.
Published: (2024)
by: Zhang, Jingyuan, et al.
Published: (2024)
Robust Federated Learning on Edge Devices with Domain Heterogeneity
by: Le, Huy Q., et al.
Published: (2025)
by: Le, Huy Q., et al.
Published: (2025)
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
by: Fang, Xiuwen, et al.
Published: (2025)
by: Fang, Xiuwen, et al.
Published: (2025)
FedNSAM:Consistency of Local and Global Flatness for Federated Learning
by: Liu, Junkang, et al.
Published: (2026)
by: Liu, Junkang, et al.
Published: (2026)
Domain Adversarial Active Learning for Domain Generalization Classification
by: Chen, Jianting, et al.
Published: (2024)
by: Chen, Jianting, et al.
Published: (2024)
The Cost of Local and Global Fairness in Federated Learning
by: Duan, Yuying, et al.
Published: (2025)
by: Duan, Yuying, et al.
Published: (2025)
AFed: Algorithmic Fair Federated Learning
by: Chen, Huiqiang, et al.
Published: (2025)
by: Chen, Huiqiang, et al.
Published: (2025)
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
by: Yan, Yunlu, et al.
Published: (2023)
by: Yan, Yunlu, et al.
Published: (2023)
DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy
by: Luong, Vinh, et al.
Published: (2024)
by: Luong, Vinh, et al.
Published: (2024)
Mastering Diverse Domains through World Models
by: Hafner, Danijar, et al.
Published: (2023)
by: Hafner, Danijar, et al.
Published: (2023)
DAILOC: Domain-Incremental Learning for Indoor Localization using Smartphones
by: Singampalli, Akhil, et al.
Published: (2025)
by: Singampalli, Akhil, et al.
Published: (2025)
FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning
by: Wang, Xinpeng, et al.
Published: (2024)
by: Wang, Xinpeng, et al.
Published: (2024)
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
by: Huang, Yu-Hao, et al.
Published: (2025)
by: Huang, Yu-Hao, et al.
Published: (2025)
Cumulative Utility Parity for Fair Federated Learning under Intermittent Client Participation
by: Behfar, Stefan, et al.
Published: (2026)
by: Behfar, Stefan, et al.
Published: (2026)
Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval
by: Hu, Tianle, et al.
Published: (2025)
by: Hu, Tianle, et al.
Published: (2025)
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
by: Lin, Yujie, et al.
Published: (2023)
by: Lin, Yujie, et al.
Published: (2023)
Unified Class and Domain Incremental Learning with Mixture of Experts for Indoor Localization
by: Singampalli, Akhil, et al.
Published: (2025)
by: Singampalli, Akhil, et al.
Published: (2025)
A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
by: Ali, Michael Ben, et al.
Published: (2025)
by: Ali, Michael Ben, et al.
Published: (2025)
Towards Federated Domain Unlearning: Verification Methodologies and Challenges
by: Tam, Kahou, et al.
Published: (2024)
by: Tam, Kahou, et al.
Published: (2024)
Proximal Control of UAVs with Federated Learning for Human-Robot Collaborative Domains
by: Nobrega, Lucas Nogueira, et al.
Published: (2024)
by: Nobrega, Lucas Nogueira, et al.
Published: (2024)
Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
by: Jia, Yongzhe, et al.
Published: (2024)
by: Jia, Yongzhe, et al.
Published: (2024)
Fairness in Federated Learning: Fairness for Whom?
by: Taik, Afaf, et al.
Published: (2025)
by: Taik, Afaf, et al.
Published: (2025)
HARMONY: Bridging the Personalization-Generalization Gap by Mitigating Representation Skew in Heterogeneous Split Federated Learning
by: Youn, Jiseok, et al.
Published: (2026)
by: Youn, Jiseok, et al.
Published: (2026)
Cross-Domain Continual Learning via CLAMP
by: Weng, Weiwei, et al.
Published: (2024)
by: Weng, Weiwei, et al.
Published: (2024)
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training
by: Soltany, Milad, et al.
Published: (2024)
by: Soltany, Milad, et al.
Published: (2024)
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
by: Tan, Zihan, et al.
Published: (2024)
by: Tan, Zihan, et al.
Published: (2024)
Similar Items
-
Federated Graph Semantic and Structural Learning
by: Huang, Wenke, et al.
Published: (2024) -
S2FGL: Spatial Spectral Federated Graph Learning
by: Tan, Zihan, et al.
Published: (2025) -
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization
by: Jiang, Kai, et al.
Published: (2024) -
An Enhanced Federated Prototype Learning Method under Domain Shift
by: Kuang, Liang, et al.
Published: (2024) -
Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes
by: Le, Huy Q., et al.
Published: (2025)