FedDES: Graph-Based Dynamic Ensemble Selection for Personalized Federated Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Mueller, Brianna, Street, W. Nick |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning
par: Mueller, Brianna, et autres
Publié: (2024)
par: Mueller, Brianna, et autres
Publié: (2024)
FedSheafHN: Personalized Federated Learning on Graph-structured Data
par: Liang, Wenfei, et autres
Publié: (2024)
par: Liang, Wenfei, et autres
Publié: (2024)
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
par: Tamirisa, Rishub, et autres
Publié: (2024)
par: Tamirisa, Rishub, et autres
Publié: (2024)
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
par: Song, Jiarui, et autres
Publié: (2025)
par: Song, Jiarui, et autres
Publié: (2025)
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
par: Tan, Zihan, et autres
Publié: (2024)
par: Tan, Zihan, et autres
Publié: (2024)
FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning
par: Tamirisa, Rishub, et autres
Publié: (2023)
par: Tamirisa, Rishub, et autres
Publié: (2023)
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
par: Talpini, Jacopo, et autres
Publié: (2025)
par: Talpini, Jacopo, et autres
Publié: (2025)
Federated Ensemble Learning with Progressive Model Personalization
par: Emrani, Ala, et autres
Publié: (2026)
par: Emrani, Ala, et autres
Publié: (2026)
An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action Forging
par: Zadeh, Sadjad Anzabi, et autres
Publié: (2024)
par: Zadeh, Sadjad Anzabi, et autres
Publié: (2024)
FedCIGAR: A Personalized Reconstruction Approach for Federated Graph-level Anomaly Detection
par: Zhao, Yunfeng, et autres
Publié: (2026)
par: Zhao, Yunfeng, et autres
Publié: (2026)
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
par: Xie, Jin, et autres
Publié: (2024)
par: Xie, Jin, et autres
Publié: (2024)
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning
par: Zhang, Yu, et autres
Publié: (2025)
par: Zhang, Yu, et autres
Publié: (2025)
FedAPM: Federated Learning via ADMM with Partial Model Personalization
par: Zhu, Shengkun, et autres
Publié: (2025)
par: Zhu, Shengkun, et autres
Publié: (2025)
Personalized Federated Learning via Learning Dynamic Graphs
par: Zhou, Ziran, et autres
Publié: (2025)
par: Zhou, Ziran, et autres
Publié: (2025)
FedGraph: A Research Library and Benchmark for Federated Graph Learning
par: Yao, Yuhang, et autres
Publié: (2024)
par: Yao, Yuhang, et autres
Publié: (2024)
FedPPA: Progressive Parameter Alignment for Personalized Federated Learning
par: Prasetia, Maulidi Adi, et autres
Publié: (2025)
par: Prasetia, Maulidi Adi, et autres
Publié: (2025)
FedRGL: Robust Federated Graph Learning for Label Noise
par: Li, De, et autres
Publié: (2024)
par: Li, De, et autres
Publié: (2024)
FedMerge: Federated Personalization via Model Merging
par: Chen, Shutong, et autres
Publié: (2025)
par: Chen, Shutong, et autres
Publié: (2025)
FedPrism: Adaptive Personalized Federated Learning under Non-IID Data
par: Kumbhakar, Prakash, et autres
Publié: (2026)
par: Kumbhakar, Prakash, et autres
Publié: (2026)
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
par: Lin, I-Cheng, et autres
Publié: (2024)
par: Lin, I-Cheng, et autres
Publié: (2024)
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts
par: Mei, Hanzi, et autres
Publié: (2024)
par: Mei, Hanzi, et autres
Publié: (2024)
Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting
par: Li, Yi, et autres
Publié: (2026)
par: Li, Yi, et autres
Publié: (2026)
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization
par: Zhao, Qianyi, et autres
Publié: (2024)
par: Zhao, Qianyi, et autres
Publié: (2024)
FedIA: Towards Domain-Robust Aggregation in Federated Graph Learning
par: Zhou, Zhanting, et autres
Publié: (2025)
par: Zhou, Zhanting, et autres
Publié: (2025)
FedSub: Introducing Class-aware Subnetworks Fusion to Enhance Personalized Federated Learning
par: Campana, Mattia Giovanni, et autres
Publié: (2024)
par: Campana, Mattia Giovanni, et autres
Publié: (2024)
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
par: Chen, Shuxiao, et autres
Publié: (2021)
par: Chen, Shuxiao, et autres
Publié: (2021)
FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization
par: Fowler, Zoe, et autres
Publié: (2026)
par: Fowler, Zoe, et autres
Publié: (2026)
LLM-Guided Dynamic-UMAP for Personalized Federated Graph Learning
par: Puppala, Sai, et autres
Publié: (2025)
par: Puppala, Sai, et autres
Publié: (2025)
FedAH: Aggregated Head for Personalized Federated Learning
par: Zhou, Pengzhan, et autres
Publié: (2024)
par: Zhou, Pengzhan, et autres
Publié: (2024)
FedGIG: Graph Inversion from Gradient in Federated Learning
par: Xiao, Tianzhe, et autres
Publié: (2024)
par: Xiao, Tianzhe, et autres
Publié: (2024)
FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View
par: Ye, Wenxuan, et autres
Publié: (2025)
par: Ye, Wenxuan, et autres
Publié: (2025)
FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting
par: Yuan, Zhongzheng, et autres
Publié: (2025)
par: Yuan, Zhongzheng, et autres
Publié: (2025)
FedHiP: Heterogeneity-Invariant Personalized Federated Learning Through Closed-Form Solutions
par: Tang, Jianheng, et autres
Publié: (2025)
par: Tang, Jianheng, et autres
Publié: (2025)
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning
par: Yi, Liping, et autres
Publié: (2024)
par: Yi, Liping, et autres
Publié: (2024)
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
par: Ceyani, Emir, et autres
Publié: (2025)
par: Ceyani, Emir, et autres
Publié: (2025)
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
par: Li, Youpeng, et autres
Publié: (2024)
par: Li, Youpeng, et autres
Publié: (2024)
FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations
par: Tan, Zhizhong, et autres
Publié: (2025)
par: Tan, Zhizhong, et autres
Publié: (2025)
FedECADO: A Dynamical System Model of Federated Learning
par: Agarwal, Aayushya, et autres
Publié: (2024)
par: Agarwal, Aayushya, et autres
Publié: (2024)
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
par: Chen, Xiaolin, et autres
Publié: (2021)
par: Chen, Xiaolin, et autres
Publié: (2021)
FedDAA: Dynamic Client Clustering for Concept Drift Adaptation in Federated Learning
par: Peng, Fu, et autres
Publié: (2025)
par: Peng, Fu, et autres
Publié: (2025)
Documents similaires
-
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning
par: Mueller, Brianna, et autres
Publié: (2024) -
FedSheafHN: Personalized Federated Learning on Graph-structured Data
par: Liang, Wenfei, et autres
Publié: (2024) -
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
par: Tamirisa, Rishub, et autres
Publié: (2024) -
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
par: Song, Jiarui, et autres
Publié: (2025) -
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
par: Tan, Zihan, et autres
Publié: (2024)