Personalized Federated Learning via Sequential Layer Expansion in Representation Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Jang, Jaewon, Choi, Bonjun |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Sequential Compression Layers for Efficient Federated Learning in Foundational Models
por: Mahla, Navyansh, et al.
Publicado: (2024)
por: Mahla, Navyansh, et al.
Publicado: (2024)
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients
por: Nguyen, Minh Duong, et al.
Publicado: (2024)
por: Nguyen, Minh Duong, et al.
Publicado: (2024)
HARMONY: Bridging the Personalization-Generalization Gap by Mitigating Representation Skew in Heterogeneous Split Federated Learning
por: Youn, Jiseok, et al.
Publicado: (2026)
por: Youn, Jiseok, et al.
Publicado: (2026)
Personalized Federated Learning via Learning Dynamic Graphs
por: Zhou, Ziran, et al.
Publicado: (2025)
por: Zhou, Ziran, et al.
Publicado: (2025)
Personalized Federated Learning via Feature Distribution Adaptation
por: Mclaughlin, Connor J., et al.
Publicado: (2024)
por: Mclaughlin, Connor J., et al.
Publicado: (2024)
Privacy Assessment of Federated Learning using Private Personalized Layers
por: Jourdan, Théo, et al.
Publicado: (2021)
por: Jourdan, Théo, et al.
Publicado: (2021)
Representation Learning for Sequential Volumetric Design Tasks
por: Alam, Md Ferdous, et al.
Publicado: (2023)
por: Alam, Md Ferdous, et al.
Publicado: (2023)
Personalized Federated Continual Learning via Multi-granularity Prompt
por: Yu, Hao, et al.
Publicado: (2024)
por: Yu, Hao, et al.
Publicado: (2024)
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
por: Chen, Xi, et al.
Publicado: (2025)
por: Chen, Xi, et al.
Publicado: (2025)
Few-for-Many Personalized Federated Learning
por: Guo, Ping, et al.
Publicado: (2026)
por: Guo, Ping, et al.
Publicado: (2026)
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
por: Chu, Yun-Wei, et al.
Publicado: (2022)
por: Chu, Yun-Wei, et al.
Publicado: (2022)
Federated Two Stage Decoupling With Adaptive Personalization Layers
por: Zhu, Hangyu, et al.
Publicado: (2023)
por: Zhu, Hangyu, et al.
Publicado: (2023)
Graph Federated Learning for Personalized Privacy Recommendation
por: Na, Ce, et al.
Publicado: (2025)
por: Na, Ce, et al.
Publicado: (2025)
Curriculum Guided Personalized Subgraph Federated Learning
por: Kang, Minku, et al.
Publicado: (2025)
por: Kang, Minku, et al.
Publicado: (2025)
IP-FL: Incentivized and Personalized Federated Learning
por: Khan, Ahmad Faraz, et al.
Publicado: (2023)
por: Khan, Ahmad Faraz, et al.
Publicado: (2023)
APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
por: Fan, Kejia, et al.
Publicado: (2025)
por: Fan, Kejia, et al.
Publicado: (2025)
Detecting Atypical Clients in Federated Learning via Representation-Level Divergence
por: Pérez-Corral, Cristian, et al.
Publicado: (2026)
por: Pérez-Corral, Cristian, et al.
Publicado: (2026)
Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning
por: Heydari, A. Ali, et al.
Publicado: (2024)
por: Heydari, A. Ali, et al.
Publicado: (2024)
Less is More: Multimodal Region Representation via Pairwise Inter-view Learning
por: Namgung, Min, et al.
Publicado: (2025)
por: Namgung, Min, 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)
por: Huang, Chenghao, et al.
Publicado: (2024)
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
por: Nguyen, Duong M., et al.
Publicado: (2025)
por: Nguyen, Duong M., et al.
Publicado: (2025)
Encoding Temporal Statistical-space Priors via Augmented Representation
por: Choi, Insu, et al.
Publicado: (2024)
por: Choi, Insu, et al.
Publicado: (2024)
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
por: Zhu, Shengkun, et al.
Publicado: (2024)
por: Zhu, Shengkun, et al.
Publicado: (2024)
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections
por: Zhuo, Wei, et al.
Publicado: (2025)
por: Zhuo, Wei, et al.
Publicado: (2025)
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition
por: Wu, Xinghao, et al.
Publicado: (2024)
por: Wu, Xinghao, et al.
Publicado: (2024)
Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
por: Fermanian, Jean-Baptiste, et al.
Publicado: (2026)
por: Fermanian, Jean-Baptiste, et al.
Publicado: (2026)
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
por: Zhou, Yanbing, et al.
Publicado: (2025)
por: Zhou, Yanbing, et al.
Publicado: (2025)
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning
por: Ye, Tiandi, et al.
Publicado: (2025)
por: Ye, Tiandi, et al.
Publicado: (2025)
Bayesian Neural Network For Personalized Federated Learning Parameter Selection
por: Luo, Mengen, et al.
Publicado: (2024)
por: Luo, Mengen, et al.
Publicado: (2024)
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
por: Li, Zhilong, et al.
Publicado: (2024)
por: Li, Zhilong, et al.
Publicado: (2024)
UA-PDFL: A Personalized Approach for Decentralized Federated Learning
por: Zhu, Hangyu, et al.
Publicado: (2024)
por: Zhu, Hangyu, et al.
Publicado: (2024)
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
por: Wang, Penghao, et al.
Publicado: (2025)
por: Wang, Penghao, et al.
Publicado: (2025)
Probabilistic Federated Learning on Uncertain and Heterogeneous Data with Model Personalization
por: Rahman, Ratun, et al.
Publicado: (2026)
por: Rahman, Ratun, et al.
Publicado: (2026)
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
por: Rokvic, Ljubomir, et al.
Publicado: (2025)
por: Rokvic, Ljubomir, et al.
Publicado: (2025)
LLM-Guided Dynamic-UMAP for Personalized Federated Graph Learning
por: Puppala, Sai, et al.
Publicado: (2025)
por: Puppala, Sai, et al.
Publicado: (2025)
FedPPA: Progressive Parameter Alignment for Personalized Federated Learning
por: Prasetia, Maulidi Adi, et al.
Publicado: (2025)
por: Prasetia, Maulidi Adi, et al.
Publicado: (2025)
PFedDST: Personalized Federated Learning with Decentralized Selection Training
por: Fan, Mengchen, et al.
Publicado: (2025)
por: Fan, Mengchen, et al.
Publicado: (2025)
Resource-efficient Layer-wise Federated Self-supervised Learning
por: Tun, Ye Lin, et al.
Publicado: (2024)
por: Tun, Ye Lin, et al.
Publicado: (2024)
Personalized Multi-tier Federated Learning
por: Banerjee, Sourasekhar, et al.
Publicado: (2024)
por: Banerjee, Sourasekhar, et al.
Publicado: (2024)
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
por: Park, Taewon, et al.
Publicado: (2024)
por: Park, Taewon, et al.
Publicado: (2024)
Ejemplares similares
-
Sequential Compression Layers for Efficient Federated Learning in Foundational Models
por: Mahla, Navyansh, et al.
Publicado: (2024) -
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients
por: Nguyen, Minh Duong, et al.
Publicado: (2024) -
HARMONY: Bridging the Personalization-Generalization Gap by Mitigating Representation Skew in Heterogeneous Split Federated Learning
por: Youn, Jiseok, et al.
Publicado: (2026) -
Personalized Federated Learning via Learning Dynamic Graphs
por: Zhou, Ziran, et al.
Publicado: (2025) -
Personalized Federated Learning via Feature Distribution Adaptation
por: Mclaughlin, Connor J., et al.
Publicado: (2024)