Imagen de Portada

Bayesian Neural Network For Personalized Federated Learning Parameter Selection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Luo, Mengen, Kuruoglu, Ercan Engin
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

Bayesian Neural Networks: A Min-Max Game Framework
por: Hong, Junping, et al.
Publicado: (2023)

Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
por: Luo, Mengen, et al.
Publicado: (2024)

Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective
por: Yuan, Xueqiong, et al.
Publicado: (2025)

Modality as Heterogeneity: Node Splitting and Graph Rewiring for Multimodal Graph Learning
por: Zhang, Yihan, et al.
Publicado: (2026)

Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation
por: Yan, Yi, et al.
Publicado: (2024)

Function-Space Empirical Bayes Regularisation with Student's t Priors
por: Hao, Pengcheng, et al.
Publicado: (2026)

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
por: Tamirisa, Rishub, et al.
Publicado: (2024)

Adaptive Spatio-temporal Estimation on the Graph Edges via Line Graph Transformation
por: Yan, Yi, et al.
Publicado: (2023)

FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning
por: Tamirisa, Rishub, et al.
Publicado: (2023)

On Sequential Maximum a Posteriori Inference for Continual Learning
por: Zhu, Menghao Waiyan William, et al.
Publicado: (2024)

A Survey of Graph Transformers: Architectures, Theories and Applications
por: Yuan, Chaohao, et al.
Publicado: (2025)

LLM-based Online Prediction of Time-varying Graph Signals
por: Qin, Dayu, et al.
Publicado: (2024)

Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network Embedding
por: Piriyasatit, Suchanuch, et al.
Publicado: (2025)

ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
por: Piriyasatit, Suchanuch, et al.
Publicado: (2025)

Spatio-Temporal Graph Structure Learning for Earthquake Detection
por: Piriyasatit, Suchanun, et al.
Publicado: (2025)

Graph Signal Adaptive Message Passing
por: Yan, Yi, et al.
Publicado: (2024)

Binarized Simplicial Convolutional Neural Networks
por: Yan, Yi, et al.
Publicado: (2024)

FedPPA: Progressive Parameter Alignment for Personalized Federated Learning
por: Prasetia, Maulidi Adi, et al.
Publicado: (2025)

Monte Carlo Functional Regularisation for Continual Learning
por: Hao, Pengcheng, et al.
Publicado: (2025)

LLM Online Spatial-temporal Signal Reconstruction Under Noise
por: Yan, Yi, et al.
Publicado: (2024)

PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
por: Xie, Chulin, et al.
Publicado: (2023)

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

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
por: Feng, Yu, et al.
Publicado: (2025)

pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
por: Lai, Jiahao, et al.
Publicado: (2024)

Robust Learning on Heterogeneous Graphs with Heterophily: A Graph Structure Learning Approach
por: Zhang, Yihan, et al.
Publicado: (2026)

Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning
por: Ye, Tiandi, et al.
Publicado: (2025)

Flow to Learn: Flow Matching on Neural Network Parameters
por: Saragih, Daniel, et al.
Publicado: (2025)

Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
por: Zhu, Menghao Waiyan William, et al.
Publicado: (2025)

FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
por: Song, Jiarui, et al.
Publicado: (2025)

Precise Bayesian Neural Networks
por: Brito, Carlos Stein
Publicado: (2025)

Few-for-Many Personalized Federated Learning
por: Guo, Ping, et al.
Publicado: (2026)

Bayesian Federated Learning for Continual Training
por: Milasheuski, Usevalad, et al.
Publicado: (2025)

Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
por: Galashov, Alexandre, et al.
Publicado: (2024)

Symmetry in Neural Network Parameter Spaces
por: Zhao, Bo, et al.
Publicado: (2025)

Adaptive Least Mean pth Power Graph Neural Networks
por: Yan, Yi, et al.
Publicado: (2024)

Function-Space Empirical Bayes Regularisation with Large Vision-Language Model Priors
por: Hao, Pengcheng, et al.
Publicado: (2026)

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

Personalized Federated Learning via Learning Dynamic Graphs
por: Zhou, Ziran, et al.
Publicado: (2025)

Graph Federated Learning for Personalized Privacy Recommendation
por: Na, Ce, et al.
Publicado: (2025)

Curriculum Guided Personalized Subgraph Federated Learning
por: Kang, Minku, et al.
Publicado: (2025)