Cover Image

A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Jing, Zhang, Chunxu, Zhang, Honglei, Li, Zhiwei, Li, Yidong, Yang, Bo
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Navigating the Future of Federated Recommendation Systems with Foundation Models
by: Li, Zhiwei, et al.
Published: (2024)

Personalized Recommendation Models in Federated Settings: A Survey
by: Zhang, Chunxu, et al.
Published: (2025)

TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models
by: Zhang, Honglei, et al.
Published: (2024)

GPFedRec: Graph-guided Personalization for Federated Recommendation
by: Zhang, Chunxu, et al.
Published: (2023)

MDiffFR: Modality-Guided Diffusion Generation for Cold-start Items in Federated Recommendation
by: Fu, Kang, et al.
Published: (2025)

From Transfer to Collaboration: A Federated Framework for Cross-Market Sequential Recommendation
by: Chen, Jundong, et al.
Published: (2026)

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
by: Xu, Jinfeng, et al.
Published: (2025)

Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation
by: Zhang, Honglei, et al.
Published: (2024)

Federated Vision-Language-Recommendation with Personalized Fusion
by: Li, Zhiwei, et al.
Published: (2024)

Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation
by: Zhang, Chunxu, et al.
Published: (2026)

Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach
by: Zhang, Chunxu, et al.
Published: (2025)

FedUTR: Federated Recommendation with Augmented Universal Textual Representation for Sparse Interaction Scenarios
by: Fu, Kang, et al.
Published: (2026)

Privacy in LLM-based Recommendation: Recent Advances and Future Directions
by: Luo, Sichun, et al.
Published: (2024)

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
by: Zhang, Chunxu, et al.
Published: (2024)

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
by: Zhang, Chunxu, et al.
Published: (2023)

Federated Adaptation for Foundation Model-based Recommendations
by: Zhang, Chunxu, et al.
Published: (2024)

Advancing Sustainability via Recommender Systems: A Survey
by: Zhou, Xin, et al.
Published: (2024)

Personalized Multi-task Training for Recommender System
by: Yang, Liangwei, et al.
Published: (2024)

Robust Recommender System: A Survey and Future Directions
by: Zhang, Kaike, et al.
Published: (2023)

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024)

Multimodal Pretraining and Generation for Recommendation: A Tutorial
by: Zhu, Jieming, et al.
Published: (2024)

Automating Personalization: Prompt Optimization for Recommendation Reranking
by: Wang, Chen, et al.
Published: (2025)

A Situation-aware Enhancer for Personalized Recommendation
by: Li, Jiayu, et al.
Published: (2024)

Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems
by: Shi, Kexin, et al.
Published: (2024)

Efficient and Robust Regularized Federated Recommendation
by: Liu, Langming, et al.
Published: (2024)

A Cognitive Distribution and Behavior-Consistent Framework for Black-Box Attacks on Recommender Systems
by: Zhang, Hongyue, et al.
Published: (2026)

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions
by: Zhou, Hongyu, et al.
Published: (2025)

Federated Learning and Unlearning for Recommendation with Personalized Data Sharing
by: Qu, Liang, et al.
Published: (2026)

LLM-Powered User Simulator for Recommender System
by: Zhang, Zijian, et al.
Published: (2024)

Personalized Federated Recommendation With Knowledge Guidance
by: Lim, Jaehyung, et al.
Published: (2025)

Calibrated Recommendations: Survey and Future Directions
by: da Silva, Diego Corrêa, et al.
Published: (2025)

Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate
by: Jing, Jiazheng, et al.
Published: (2025)

Hesitation and Tolerance in Recommender Systems
by: Zou, Kuan, et al.
Published: (2024)

Negative Sampling in Recommendation: A Survey and Future Directions
by: Ma, Haokai, et al.
Published: (2024)

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models
by: Yang, Zhen, et al.
Published: (2025)

S-GRec: Personalized Semantic-Aware Generative Recommendation with Asymmetric Advantage
by: Jiang, Jie, et al.
Published: (2026)

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation
by: Zhang, Chunxu, et al.
Published: (2026)

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
by: Mi, Yunqi, et al.
Published: (2025)

Personalized Denoising Implicit Feedback for Robust Recommender System
by: Zhang, Kaike, et al.
Published: (2025)

IP2: Entity-Guided Interest Probing for Personalized News Recommendation
by: Wu, Youlin, et al.
Published: (2025)