Image de couverture de livre

Comparative Evaluation of Clustered Federated Learning Methods

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ali, Michael Ben, El-Rifai, Omar, Megdiche, Imen, Peninou, André, Teste, Olivier
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A survey on Clustered Federated Learning: Taxonomy, Analysis and Applications
par: Ali, Michael Ben, et autres
Publié: (2025)

A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
par: Ali, Michael Ben, et autres
Publié: (2025)

Anomaly detection by partitioning of multi-variate time series
par: Lotte, Pierre, et autres
Publié: (2025)

Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling
par: Lotte, Pierre, et autres
Publié: (2026)

XStacking: Explanation-Guided Stacked Ensemble Learning
par: Garouani, Moncef, et autres
Publié: (2025)

IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting
par: Harkati, Aymane, et autres
Publié: (2026)

Energy-Efficient Federated Learning for AIoT using Clustering Methods
par: Pereira, Roberto, et autres
Publié: (2025)

Dynamic Clustering in Federated Learning
par: Kim, Yeongwoo, et autres
Publié: (2020)

BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity
par: Guerra-Manzanares, Alejandro, et autres
Publié: (2025)

Comparing Cluster-Based Cross-Validation Strategies for Machine Learning Model Evaluation
par: Spezia, Afonso Martini, et autres
Publié: (2025)

MIRA: A Method of Federated MultI-Task Learning for LaRge LAnguage Models
par: Elbakary, Ahmed, et autres
Publié: (2024)

COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication
par: Rachmut, Ben, et autres
Publié: (2026)

Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare
par: Konti, Xenia, et autres
Publié: (2024)

Evaluating COVID 19 Feature Contributions to Bitcoin Return Forecasting: Methodology Based on LightGBM and Genetic Optimization
par: Mahmoud, Imen, et autres
Publié: (2025)

Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering
par: Yang, Yifan, et autres
Publié: (2024)

Cluster Specific Representation Learning
par: Sabanayagam, Mahalakshmi, et autres
Publié: (2024)

Optimizing Communication and Device Clustering for Clustered Federated Learning with Differential Privacy
par: Wei, Dongyu, et autres
Publié: (2025)

Clustered Federated Learning via Embedding Distributions
par: Zhang, Dekai, et autres
Publié: (2025)

FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting
par: Helcig, Michael A., et autres
Publié: (2025)

Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning
par: Bashir, Satwat, et autres
Publié: (2026)

Interaction-Aware Gaussian Weighting for Clustered Federated Learning
par: Licciardi, Alessandro, et autres
Publié: (2025)

One-Shot Clustering for Federated Learning
par: Zuziak, Maciej Krzysztof, et autres
Publié: (2025)

Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction
par: Azenkot, Daniel, et autres
Publié: (2026)

FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning
par: Ali, Mahad, et autres
Publié: (2026)

Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices
par: Liu, Heting, et autres
Publié: (2025)

Distilling A Universal Expert from Clustered Federated Learning
par: Leng, Zeqi, et autres
Publié: (2025)

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
par: Guo, Yongxin, et autres
Publié: (2023)

DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning
par: Bekdache, Omar, et autres
Publié: (2025)

FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
par: Chen, Cheng, et autres
Publié: (2020)

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption
par: Zuziak, Maciej Krzysztof, et autres
Publié: (2025)

FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
par: Fan, Boyu, et autres
Publié: (2024)

A Comparative Evaluation of Teacher-Guided Reinforcement Learning Techniques for Autonomous Cyber Operations
par: Tholl, Konur, et autres
Publié: (2025)

CCFC: Bridging Federated Clustering and Contrastive Learning
par: Liu, Jing, et autres
Publié: (2024)

Fairness Regularization in Federated Learning
par: Kharaghani, Zahra, et autres
Publié: (2025)

A Pragmatic Method for Comparing Clusterings with Overlaps and Outliers
par: DeWolfe, Ryan, et autres
Publié: (2026)

Jigsaw Game: Federated Clustering
par: Xu, Jinxuan, et autres
Publié: (2024)

Event Driven Clustering Algorithm
par: Ben-Ezra, David El-Chai, et autres
Publié: (2026)

An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning
par: Chen, Yan-Ann, et autres
Publié: (2025)

CQSA: Byzantine-robust Clustered Quantum Secure Aggregation in Federated Learning
par: Nath, Arnab, et autres
Publié: (2026)

Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering
par: Zhang, Xu, et autres
Publié: (2023)