Imagen de Portada

Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Rongyu, Chen, Yun, Wu, Chenrui, Wang, Fangxin, Li, Bo
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
por: Li, Zhilong, et al.
Publicado: (2024)

Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
por: Zhang, Yipu, et al.
Publicado: (2025)

Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
por: Chen, Zhuoxin, et al.
Publicado: (2024)

Federated In-Context LLM Agent Learning
por: Wu, Panlong, et al.
Publicado: (2024)

Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
por: Yu, Hao, et al.
Publicado: (2024)

Probabilistic Federated Learning on Uncertain and Heterogeneous Data with Model Personalization
por: Rahman, Ratun, et al.
Publicado: (2026)

Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
por: Rokvic, Ljubomir, et al.
Publicado: (2025)

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

Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
por: Chen, Xi, et al.
Publicado: (2025)

On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
por: Zhu, Shengkun, et al.
Publicado: (2024)

Heterogeneous Multi-Expert Reinforcement Learning for Long-Horizon Multi-Goal Tasks in Autonomous Forklifts
por: Chen, Yun, et al.
Publicado: (2026)

Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
por: Chen, Xiaolu, et al.
Publicado: (2025)

FedEL: Federated Elastic Learning for Heterogeneous Devices
por: Zhang, Letian, et al.
Publicado: (2025)

Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets
por: Tang, Chenxia
Publicado: (2024)

FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
por: Fan, Boyu, et al.
Publicado: (2024)

A Scalable Curiosity-Driven Game-Theoretic Framework for Long-Tail Multi-Label Learning in Data Mining
por: Yang, Jing, et al.
Publicado: (2026)

Personalized Federated Continual Learning via Multi-granularity Prompt
por: Yu, Hao, et al.
Publicado: (2024)

A Closer Look at Personalized Fine-Tuning in Heterogeneous Federated Learning
por: Chen, Minghui, et al.
Publicado: (2025)

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems
por: Wang, Jinzhi, et al.
Publicado: (2025)

Federated Causal Discovery from Heterogeneous Data
por: Li, Loka, et al.
Publicado: (2024)

Accurate Forgetting for Heterogeneous Federated Continual Learning
por: Wuerkaixi, Abudukelimu, et al.
Publicado: (2025)

FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
por: Wang, Penghao, et al.
Publicado: (2025)

Personalized Observation Normalization for Federated Reinforcement Learning in Simulation Environments with Heterogeneity
por: Pang, Yiran, et al.
Publicado: (2026)

Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction
por: Wang, Yu, et al.
Publicado: (2025)

Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
por: Fang, Zihan, et al.
Publicado: (2026)

Understanding the Impact of Differentially Private Training on Memorization of Long-Tailed Data
por: Zhang, Jiaming, et al.
Publicado: (2026)

Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity
por: Wang, Zheng, et al.
Publicado: (2024)

You Can Backdoor Personalized Federated Learning
por: Ye, Tiandi, et al.
Publicado: (2023)

Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity
por: Zhang, Sirui, et al.
Publicado: (2026)

Personalized Quantum Federated Learning for Privacy Image Classification
por: Shi, Jinjing, et al.
Publicado: (2024)

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

MISID: A Multimodal Multi-turn Dataset for Complex Intent Recognition in Strategic Deception Games
por: Lin, Shufang, et al.
Publicado: (2026)

Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation
por: Tan, Jieyi, et al.
Publicado: (2024)

Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data
por: Zhou, Tailin, et al.
Publicado: (2023)

MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data
por: Sheludzko, Siarhei, et al.
Publicado: (2026)

Federated Learning on Virtual Heterogeneous Data with Local-global Distillation
por: Huang, Chun-Yin, et al.
Publicado: (2023)

LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data
por: Zhang, Yuxin, et al.
Publicado: (2025)

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

Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss
por: Yang, Jinye, et al.
Publicado: (2023)

In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
por: Li, Huihan, et al.
Publicado: (2023)