Imagen de Portada

Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sasse, Arthur Mendonça, de Farias, Claudio Miceli
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Kolmogorov-Arnold Fourier Networks
por: Zhang, Jusheng, et al.
Publicado: (2025)

Clifford Kolmogorov-Arnold Networks
por: Wolff, Matthias, et al.
Publicado: (2026)

A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data
por: Poeta, Eleonora, et al.
Publicado: (2024)

Kolmogorov Arnold Networks (KANs) for Imbalanced Data -- An Empirical Perspective
por: Yadav, Pankaj, et al.
Publicado: (2025)

Kolmogorov-Arnold Graph Neural Networks
por: De Carlo, Gianluca, et al.
Publicado: (2024)

TKAN: Temporal Kolmogorov-Arnold Networks
por: Genet, Remi, et al.
Publicado: (2024)

GKAN: Graph Kolmogorov-Arnold Networks
por: Kiamari, Mehrdad, et al.
Publicado: (2024)

Catastrophic Forgetting in Kolmogorov-Arnold Networks
por: Rahman, Mohammad Marufur, et al.
Publicado: (2025)

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

Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
por: Weng, Pei-Yau, et al.
Publicado: (2025)

Federated Loss Exploration for Improved Convergence on Non-IID Data
por: Internò, Christian, et al.
Publicado: (2025)

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

TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformer
por: Gao, Weihao, et al.
Publicado: (2024)

F-KANs: Federated Kolmogorov-Arnold Networks
por: Zeydan, Engin, et al.
Publicado: (2024)

Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
por: Shi, Xiufang, et al.
Publicado: (2024)

A Thorough Assessment of the Non-IID Data Impact in Federated Learning
por: Jimenez-Gutierrez, Daniel M., et al.
Publicado: (2025)

Granger Causality Detection with Kolmogorov-Arnold Networks
por: Lin, Hongyu, et al.
Publicado: (2024)

Kolmogorov-Arnold Network for Online Reinforcement Learning
por: Kich, Victor Augusto, et al.
Publicado: (2024)

Geometric Kolmogorov--Arnold Network (GeoKAN)
por: Sen, Abhijit, et al.
Publicado: (2026)

Kolmogorov-Arnold Networks are Radial Basis Function Networks
por: Li, Ziyao
Publicado: (2024)

Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks
por: Schoots, Nandi, et al.
Publicado: (2025)

Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
por: He, Yuting, et al.
Publicado: (2025)

A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks
por: Bar-Shalom, Guy, et al.
Publicado: (2026)

HKAN: Hierarchical Kolmogorov-Arnold Network without Backpropagation
por: Dudek, Grzegorz, et al.
Publicado: (2025)

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
por: Gao, Yihang, et al.
Publicado: (2025)

seqKAN: Sequence processing with Kolmogorov-Arnold Networks
por: Boura, Tatiana, et al.
Publicado: (2025)

On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimators
por: Liu, Wei, et al.
Publicado: (2025)

Scale-Agnostic Kolmogorov-Arnold Geometry in Neural Networks
por: Vanherreweghe, Mathew, et al.
Publicado: (2025)

On Training of Kolmogorov-Arnold Networks
por: Sohail, Shairoz
Publicado: (2024)

KANITE: Kolmogorov-Arnold Networks for ITE estimation
por: Mehendale, Eshan, et al.
Publicado: (2025)

Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
por: Lee, Seunghyun, et al.
Publicado: (2025)

Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction
por: Zeydan, Engin, et al.
Publicado: (2025)

MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
por: Duchesne, Michael, et al.
Publicado: (2024)

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

A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
por: Ali, Michael Ben, et al.
Publicado: (2025)

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

In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks
por: Sovrano, Francesco, et al.
Publicado: (2026)

Kolmogorov-Arnold Networks for Time Series Granger Causality Inference
por: Liu, Meiliang, et al.
Publicado: (2025)

Kolmogorov-Arnold Network Autoencoders
por: Moradi, Mohammadamin, et al.
Publicado: (2024)

KAN: Kolmogorov-Arnold Networks
por: Liu, Ziming, et al.
Publicado: (2024)