Saved in:
| Main Authors: | Ali, Michael Ben, Megdiche, Imen, Peninou, André, Teste, Olivier |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.03380 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Comparative Evaluation of Clustered Federated Learning Methods
by: Ali, Michael Ben, et al.
Published: (2024)
by: Ali, Michael Ben, et al.
Published: (2024)
A survey on Clustered Federated Learning: Taxonomy, Analysis and Applications
by: Ali, Michael Ben, et al.
Published: (2025)
by: Ali, Michael Ben, et al.
Published: (2025)
Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling
by: Lotte, Pierre, et al.
Published: (2026)
by: Lotte, Pierre, et al.
Published: (2026)
Anomaly detection by partitioning of multi-variate time series
by: Lotte, Pierre, et al.
Published: (2025)
by: Lotte, Pierre, et al.
Published: (2025)
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
by: Liao, Xinting, et al.
Published: (2024)
by: Liao, Xinting, et al.
Published: (2024)
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
by: Duchesne, Michael, et al.
Published: (2024)
by: Duchesne, Michael, et al.
Published: (2024)
A Thorough Assessment of the Non-IID Data Impact in Federated Learning
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study
by: Seo, Jungwon, et al.
Published: (2025)
by: Seo, Jungwon, et al.
Published: (2025)
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
by: Shi, Xiufang, et al.
Published: (2024)
by: Shi, Xiufang, et al.
Published: (2024)
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
by: He, Yuting, et al.
Published: (2025)
by: He, Yuting, et al.
Published: (2025)
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data
by: Qiao, Yu, et al.
Published: (2024)
by: Qiao, Yu, et al.
Published: (2024)
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
by: Weng, Pei-Yau, et al.
Published: (2025)
by: Weng, Pei-Yau, et al.
Published: (2025)
Federated Loss Exploration for Improved Convergence on Non-IID Data
by: Internò, Christian, et al.
Published: (2025)
by: Internò, Christian, et al.
Published: (2025)
Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data
by: Sasse, Arthur Mendonça, et al.
Published: (2024)
by: Sasse, Arthur Mendonça, et al.
Published: (2024)
Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach
by: Tan, Jinghong, et al.
Published: (2025)
by: Tan, Jinghong, et al.
Published: (2025)
OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data
by: Park, Dongjin, et al.
Published: (2025)
by: Park, Dongjin, et al.
Published: (2025)
FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios
by: Moleri, Andrea, et al.
Published: (2026)
by: Moleri, Andrea, et al.
Published: (2026)
AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)
by: Tang, Jianheng, et al.
Published: (2025)
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency
by: Imteaj, Ahmed, et al.
Published: (2024)
by: Imteaj, Ahmed, et al.
Published: (2024)
Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings
by: Arazzi, Marco, et al.
Published: (2025)
by: Arazzi, Marco, et al.
Published: (2025)
FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2026)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2026)
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
by: Zhang, Xinyu, et al.
Published: (2023)
by: Zhang, Xinyu, et al.
Published: (2023)
Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images
by: Ribeiro, Elisa Gonçalves, et al.
Published: (2026)
by: Ribeiro, Elisa Gonçalves, et al.
Published: (2026)
Clust-PSI-PFL: A Population Stability Index Approach for Clustered Non-IID Personalized Federated Learning
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
by: Lee, Seunghyun, et al.
Published: (2025)
by: Lee, Seunghyun, et al.
Published: (2025)
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
by: Morafah, Mahdi, et al.
Published: (2024)
by: Morafah, Mahdi, et al.
Published: (2024)
Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data
by: Liu, Junkang, et al.
Published: (2026)
by: Liu, Junkang, et al.
Published: (2026)
Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
by: Chen, Zhuoxin, et al.
Published: (2024)
by: Chen, Zhuoxin, et al.
Published: (2024)
Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
by: Zong, Chen-Chen, et al.
Published: (2026)
by: Zong, Chen-Chen, et al.
Published: (2026)
FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
by: Huang, Chenghao, et al.
Published: (2024)
by: Huang, Chenghao, et al.
Published: (2024)
FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
by: AbouNassar, Eman M., et al.
Published: (2026)
by: AbouNassar, Eman M., et al.
Published: (2026)
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
by: Liu, Cuiwei, et al.
Published: (2024)
by: Liu, Cuiwei, et al.
Published: (2024)
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
by: Yan, Yunlu, et al.
Published: (2023)
by: Yan, Yunlu, et al.
Published: (2023)
VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems
by: Lakas, Mohamed, et al.
Published: (2026)
by: Lakas, Mohamed, et al.
Published: (2026)
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
by: Borazjani, Kasra, et al.
Published: (2024)
by: Borazjani, Kasra, et al.
Published: (2024)
FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
by: Zhao, Yushan, et al.
Published: (2025)
by: Zhao, Yushan, et al.
Published: (2025)
Federated Self-Supervised Learning for Automatic Modulation Classification under Non-IID and Class-Imbalanced Data
by: Akram, Usman, et al.
Published: (2025)
by: Akram, Usman, et al.
Published: (2025)
Fairness Amidst Non-IID Graph Data: A Literature Review
by: Zhang, Wenbin, et al.
Published: (2022)
by: Zhang, Wenbin, et al.
Published: (2022)
Causally Fair Node Classification on Non-IID Graph Data
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
by: Ali, Adnan, et al.
Published: (2024)
by: Ali, Adnan, et al.
Published: (2024)
Similar Items
-
Comparative Evaluation of Clustered Federated Learning Methods
by: Ali, Michael Ben, et al.
Published: (2024) -
A survey on Clustered Federated Learning: Taxonomy, Analysis and Applications
by: Ali, Michael Ben, et al.
Published: (2025) -
Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling
by: Lotte, Pierre, et al.
Published: (2026) -
Anomaly detection by partitioning of multi-variate time series
by: Lotte, Pierre, et al.
Published: (2025) -
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
by: Liao, Xinting, et al.
Published: (2024)