Saved in:
| Main Authors: | Li, Zhiwei, Long, Guodong, Zhou, Tianyi |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2301.09109 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
Federated Vision-Language-Recommendation with Personalized Fusion
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation
by: Li, Zhiwei, et al.
Published: (2025)
by: Li, Zhiwei, et al.
Published: (2025)
FedMerge: Federated Personalization via Model Merging
by: Chen, Shutong, et al.
Published: (2025)
by: Chen, Shutong, et al.
Published: (2025)
Multi-Level Additive Modeling for Structured Non-IID Federated Learning
by: Chen, Shutong, et al.
Published: (2024)
by: Chen, Shutong, et al.
Published: (2024)
Navigating the Future of Federated Recommendation Systems with Foundation Models
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
Client-supervised Federated Learning: Towards One-model-for-all Personalization
by: Yan, Peng, et al.
Published: (2024)
by: Yan, Peng, et al.
Published: (2024)
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
by: Yang, Yiyuan, et al.
Published: (2025)
by: Yang, Yiyuan, et al.
Published: (2025)
Influence-oriented Personalized Federated Learning
by: Tan, Yue, et al.
Published: (2024)
by: Tan, Yue, et al.
Published: (2024)
Personalized Interpretation on Federated Learning: A Virtual Concepts approach
by: Yan, Peng, et al.
Published: (2024)
by: Yan, Peng, et al.
Published: (2024)
Federated Weather Modeling on Sensor Data
by: Chen, Shengchao, et al.
Published: (2026)
by: Chen, Shengchao, et al.
Published: (2026)
Dual-Personalizing Adapter for Federated Foundation Models
by: Yang, Yiyuan, et al.
Published: (2024)
by: Yang, Yiyuan, et al.
Published: (2024)
Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach
by: Yang, Yiyuan, et al.
Published: (2025)
by: Yang, Yiyuan, et al.
Published: (2025)
Graph Federated Learning for Personalized Privacy Recommendation
by: Na, Ce, et al.
Published: (2025)
by: Na, Ce, et al.
Published: (2025)
Federated Foundation Models on Heterogeneous Time Series
by: Chen, Shengchao, et al.
Published: (2024)
by: Chen, Shengchao, et al.
Published: (2024)
GPFedRec: Graph-guided Personalization for Federated Recommendation
by: Zhang, Chunxu, et al.
Published: (2023)
by: Zhang, Chunxu, et al.
Published: (2023)
Learning to Collaborate via Structures: Cluster-Guided Item Alignment for Federated Recommendation
by: Tu, Yuchun, et al.
Published: (2026)
by: Tu, Yuchun, et al.
Published: (2026)
Personalized Image Generation for Recommendations Beyond Catalogs
by: Patron, Gabriel, et al.
Published: (2025)
by: Patron, Gabriel, et al.
Published: (2025)
FeDaL: Federated Dataset Learning for General Time Series Foundation Models
by: Chen, Shengchao, et al.
Published: (2025)
by: Chen, Shengchao, et al.
Published: (2025)
Bi-level Heterogeneous Learning for Time Series Foundation Models: A Federated Learning Approach
by: Chen, Shengchao, et al.
Published: (2026)
by: Chen, Shengchao, et al.
Published: (2026)
Federated Prompt Learning for Weather Foundation Models on Devices
by: Chen, Shengchao, et al.
Published: (2023)
by: Chen, Shengchao, et al.
Published: (2023)
Distilling A Universal Expert from Clustered Federated Learning
by: Leng, Zeqi, et al.
Published: (2025)
by: Leng, Zeqi, et al.
Published: (2025)
Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations
by: Spadea, Fernando, et al.
Published: (2026)
by: Spadea, Fernando, et al.
Published: (2026)
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
by: Chen, Shengchao, et al.
Published: (2024)
by: Chen, Shengchao, et al.
Published: (2024)
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition
by: Wu, Xinghao, et al.
Published: (2024)
by: Wu, Xinghao, et al.
Published: (2024)
Personalized Recommendation Models in Federated Settings: A Survey
by: Zhang, Chunxu, et al.
Published: (2025)
by: Zhang, Chunxu, et al.
Published: (2025)
Federated Low-Rank Adaptation for Foundation Models: A Survey
by: Yang, Yiyuan, et al.
Published: (2025)
by: Yang, Yiyuan, et al.
Published: (2025)
Federated Anomaly Detection for Multi-Tenant Cloud Platforms with Personalized Modeling
by: Wang, Yuxi, et al.
Published: (2025)
by: Wang, Yuxi, et al.
Published: (2025)
Low-pass Personalized Subgraph Federated Recommendation
by: Sim, Wooseok, et al.
Published: (2026)
by: Sim, Wooseok, et al.
Published: (2026)
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering
by: Zhang, Xu, et al.
Published: (2023)
by: Zhang, Xu, et al.
Published: (2023)
SPIRE: Conditional Personalization for Federated Diffusion Generative Models
by: Ozkara, Kaan, et al.
Published: (2025)
by: Ozkara, Kaan, et al.
Published: (2025)
Robust Personalized Recommendation under Hidden Confounding in MNAR
by: Li, Zongyu, et al.
Published: (2026)
by: Li, Zongyu, et al.
Published: (2026)
Row-wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large-Scale Scenarios
by: Zhou, Runlin, et al.
Published: (2025)
by: Zhou, Runlin, et al.
Published: (2025)
Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning
by: Bashir, Satwat, et al.
Published: (2026)
by: Bashir, Satwat, et al.
Published: (2026)
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation
by: Wei, Ting, et al.
Published: (2025)
by: Wei, Ting, et al.
Published: (2025)
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
by: Ozkara, Kaan, et al.
Published: (2024)
by: Ozkara, Kaan, et al.
Published: (2024)
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
by: Chen, Shuxiao, et al.
Published: (2021)
by: Chen, Shuxiao, et al.
Published: (2021)
Harmonizing Generalization and Personalization in Federated Prompt Learning
by: Cui, Tianyu, et al.
Published: (2024)
by: Cui, Tianyu, et al.
Published: (2024)
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation
by: Zhang, Xiaoxiong, et al.
Published: (2024)
by: Zhang, Xiaoxiong, et al.
Published: (2024)
Personalized Subgraph Federated Learning with Sheaf Collaboration
by: Liang, Wenfei, et al.
Published: (2025)
by: Liang, Wenfei, et al.
Published: (2025)
Similar Items
-
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024) -
Federated Vision-Language-Recommendation with Personalized Fusion
by: Li, Zhiwei, et al.
Published: (2024) -
A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation
by: Li, Zhiwei, et al.
Published: (2025) -
FedMerge: Federated Personalization via Model Merging
by: Chen, Shutong, et al.
Published: (2025) -
Multi-Level Additive Modeling for Structured Non-IID Federated Learning
by: Chen, Shutong, et al.
Published: (2024)