Cover Image

Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chunxu, Zhang, Weipeng, Long, Guodong, Xue, Zhiheng, Xia, Riting, Yang, Bo
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions
by: Jiang, Jing, et al.
Published: (2024)

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

Pattern-wise Transparent Sequential Recommendation
by: Ma, Kun, et al.
Published: (2024)

Fusion Self-supervised Learning for Recommendation
by: Zhang, Yu, et al.
Published: (2024)

Hierarchical Group-wise Ranking Framework for Recommendation Models
by: Yan, YaChen, et al.
Published: (2025)

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

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

Distilling A Universal Expert from Clustered Federated Learning
by: Leng, Zeqi, et al.
Published: (2025)

Federated Consistency- and Complementarity-aware Consensus-enhanced Recommendation
by: Mi, Yunqi, et al.
Published: (2025)

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

Propagating Similarity, Mitigating Uncertainty: Similarity Propagation-enhanced Uncertainty for Multimodal Recommendation
by: Wu, Xinzhuo, et al.
Published: (2026)

Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation
by: Zhang, Hengyu, et al.
Published: (2025)

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion
by: Guo, Lei, et al.
Published: (2026)

Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation
by: Guo, Lei, et al.
Published: (2024)

Enhancing Multimodal Recommendations with Vision-Language Models and Information-Aware Fusion
by: Kieu, Hai-Dang, et al.
Published: (2025)

Pareto-based Multi-Objective Recommender System with Forgetting Curve
by: Jin, Jipeng, et al.
Published: (2023)

Modality Reliability Guided Multimodal Recommendation
by: Dong, Xue, et al.
Published: (2025)

Collaborative Group-Aware Hashing for Fast Recommender Systems
by: Zhang, Yan, et al.
Published: (2025)

Identify Then Recommend: Towards Unsupervised Group Recommendation
by: Liu, Yue, et al.
Published: (2024)

Time-Aware Adaptive Side Information Fusion for Sequential Recommendation
by: Luo, Jie, et al.
Published: (2025)

Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators
by: Zhang, Hengyu, et al.
Published: (2024)

Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
by: Huang, Ting-Ji, et al.
Published: (2024)

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

COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)

Multimodal Fusion And Sparse Attention-based Alignment Model for Long Sequential Recommendation
by: Fu, Yongrui, et al.
Published: (2025)

FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation
by: Han, Mingzhe, et al.
Published: (2025)

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
by: Chen, Ruijun, et al.
Published: (2026)

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation
by: Guo, Jie, et al.
Published: (2025)

HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
by: Zhang, Chen, et al.
Published: (2025)

Harnessing Large Language Models for Group POI Recommendations
by: Long, Jing, et al.
Published: (2024)

Generative Conversational Recommender System
by: Zhang, Sixiao, et al.
Published: (2026)

xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems
by: Cao, Yang, et al.
Published: (2025)