Cover Image

Federated Graph Learning for Cross-Domain Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Ziqi, Peng, Zhaopeng, Wang, Zihui, Qi, Jianzhong, Chen, Chaochao, Pan, Weike, Wen, Chenglu, Wang, Cheng, Fan, Xiaoliang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning
by: Wang, Zihui, et al.
Published: (2024)

FedPFT: Federated Proxy Fine-Tuning of Foundation Models
by: Peng, Zhaopeng, et al.
Published: (2024)

P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
by: Wang, Zheng, et al.
Published: (2024)

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

Position: Embodied AI Requires a Privacy-Utility Trade-off
by: Fan, Xiaoliang, et al.
Published: (2026)

Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning
by: Peng, Weike, et al.
Published: (2024)

Federated Learning with Domain Shift Eraser
by: Wang, Zheng, et al.
Published: (2025)

BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation
by: Li, Weixin, et al.
Published: (2024)

FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations
by: Tan, Zhizhong, et al.
Published: (2025)

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
by: Yin, Mingjia, et al.
Published: (2024)

Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation
by: Zhang, Fan, et al.
Published: (2025)

Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs
by: Chen, Zihui, et al.
Published: (2026)

Cognitively Layered Data Synthesis for Domain Adaptation of LLMs to Space Situational Awareness
by: Linghu, Ding, et al.
Published: (2026)

Graph Federated Learning for Personalized Privacy Recommendation
by: Na, Ce, et al.
Published: (2025)

Domain-Aware Cross-Attention for Cross-domain Recommendation
by: Luo, Yuhao, et al.
Published: (2024)

Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System
by: Yang, Xin, et al.
Published: (2024)

Beyond Linearization: Attributed Table Graphs for Table Reasoning
by: Wang, Yuxiang, et al.
Published: (2026)

AW-MoE: All-Weather Mixture of Experts for Robust Multi-Modal 3D Object Detection
by: Lin, Hongwei, et al.
Published: (2026)

Causality Enhancement for Cross-Domain Recommendation
by: Wu, Zhibo, et al.
Published: (2025)

PathISE: Learning Informative Path Supervision for Knowledge Graph Question Answering
by: Gao, Shengxiang, et al.
Published: (2026)

A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions
by: Li, Yuyuan, et al.
Published: (2024)

FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning
by: Wang, Xinpeng, et al.
Published: (2024)

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model
by: Wang, Yuling, et al.
Published: (2025)

EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation
by: Huang, Lei, et al.
Published: (2024)

Generative Multi-Target Cross-Domain Recommendation
by: Jin, Jinqiu, et al.
Published: (2025)

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
by: Chen, Yiwen, et al.
Published: (2025)

Graph Propagation Transformer for Graph Representation Learning
by: Chen, Zhe, et al.
Published: (2023)

Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks
by: Qi, Yaqian, et al.
Published: (2024)

Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation
by: Dai, Ji, et al.
Published: (2026)

GED-Consistent Disentanglement of Aligned and Unaligned Substructures for Graph Similarity Learning
by: Zhan, Zhentao, et al.
Published: (2025)

KGPA: Robustness Evaluation for Large Language Models via Cross-Domain Knowledge Graphs
by: Pei, Aihua, et al.
Published: (2024)

A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation
by: Wang, Li, et al.
Published: (2024)

PADER: Paillier-based Secure Decentralized Social Recommendation
by: Chen, Chaochao, et al.
Published: (2026)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
by: Wang, Junjie, et al.
Published: (2024)

Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework
by: Xi, Dongbo, et al.
Published: (2024)

ConDo: Continual Domain Expansion for Absolute Pose Regression
by: Li, Zijun, et al.
Published: (2024)

Degree-Conscious Spiking Graph for Cross-Domain Adaptation
by: Wang, Yingxu, et al.
Published: (2024)

Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
by: Wen, Xiaoyu, et al.
Published: (2024)

LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems
by: Yu, Fengyuan, et al.
Published: (2025)

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
by: Chao, Wenshuo, et al.
Published: (2024)