Cover Image

MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Duchesne, Michael, Zhang, Kaiwen, Talhi, Chamseddine
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
by: Liu, Cuiwei, et al.
Published: (2024)

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
by: Liao, Xinting, et al.
Published: (2024)

Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
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)

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study
by: Seo, Jungwon, et al.
Published: (2025)

A Thorough Assessment of the Non-IID Data Impact in Federated Learning
by: Jimenez-Gutierrez, Daniel M., 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)

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)

Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
by: Zhang, Xinyu, et al.
Published: (2023)

TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency
by: Imteaj, Ahmed, et al.
Published: (2024)

Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
by: Borazjani, Kasra, et al.
Published: (2024)

OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data
by: Park, Dongjin, et al.
Published: (2025)

FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
by: Huang, Chenghao, et al.
Published: (2024)

Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data
by: Sasse, Arthur Mendonça, et al.
Published: (2024)

Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
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)

Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data
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)

Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
by: Zong, Chen-Chen, et al.
Published: (2026)

Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data
by: Qiao, Yu, et al.
Published: (2024)

Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
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)

FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios
by: Moleri, Andrea, et al.
Published: (2026)

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
by: Zhao, Yushan, et al.
Published: (2025)

VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems
by: Lakas, Mohamed, et al.
Published: (2026)

Federated Self-Supervised Learning for Automatic Modulation Classification under Non-IID and Class-Imbalanced Data
by: Akram, Usman, et al.
Published: (2025)

Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach
by: Tan, Jinghong, et al.
Published: (2025)

Causally Fair Node Classification on Non-IID Graph Data
by: Dai, Yucong, et al.
Published: (2025)

Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings
by: Arazzi, Marco, et al.
Published: (2025)

Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images
by: Ribeiro, Elisa Gonçalves, et al.
Published: (2026)

Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
by: Zhang, Dechen, et al.
Published: (2025)

Fairness Amidst Non-IID Graph Data: A Literature Review
by: Zhang, Wenbin, et al.
Published: (2022)

FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2026)

Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
by: Huang, Chun-Yin, et al.
Published: (2024)

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity
by: Ran, Yide, et al.
Published: (2025)

FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
by: AbouNassar, Eman M., et al.
Published: (2026)

From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks
by: Salihovic, Allan, et al.
Published: (2025)

Federated Proximal Optimization for Privacy-Preserving Heart Disease Prediction: A Controlled Simulation Study on Non-IID Clinical Data
by: Asad, Farzam, et al.
Published: (2026)

Online Decentralized Federated Multi-task Learning With Trustworthiness in Cyber-Physical Systems
by: Odeyomi, Olusola, et al.
Published: (2025)

PFedDST: Personalized Federated Learning with Decentralized Selection Training
by: Fan, Mengchen, et al.
Published: (2025)