{"total":27,"rows":[{"id":"2102.03448","title":"Federated Reconstruction: Partially Local Federated Learning","created":"2021-02-05","cited_by_count":79,"area":null},{"id":"2111.10778","title":"Federated Social Recommendation with Graph Neural Network","created":"2021-11-21","cited_by_count":56,"area":null},{"id":"2209.10117","title":"A Comprehensive Survey on Trustworthy Recommender Systems","created":"2022-09-21","cited_by_count":32,"area":null},{"id":"2302.10900","title":"Semi-decentralized Federated Ego Graph Learning for Recommendation","created":"2023-02-10","cited_by_count":22,"area":null},{"id":"2105.01603","title":"Federated Multi-View Learning for Private Medical Data Integration and Analysis","created":"2021-05-04","cited_by_count":12,"area":null},{"id":"2102.09342","title":"FedMood: Federated Learning on Mobile Health Data for Mood Detection","created":"2021-02-06","cited_by_count":10,"area":null},{"id":"2107.13078","title":"A Payload Optimization Method for Federated Recommender Systems","created":"2021-07-27","cited_by_count":10,"area":null},{"id":"2305.06217","title":"Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources","created":"2023-05-10","cited_by_count":10,"area":null},{"id":"2301.09109","title":"Federated Recommendation with Additive Personalization","created":"2023-01-22","cited_by_count":9,"area":null},{"id":"2408.08931","title":"Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach","created":"2024-08-16","cited_by_count":9,"area":null},{"id":"2302.11466","title":"Advancements in Federated Learning: Models, Methods, and Privacy","created":"2023-02-22","cited_by_count":7,"area":null},{"id":"2303.04689","title":"A Privacy Preserving System for Movie Recommendations Using Federated Learning","created":"2023-03-07","cited_by_count":6,"area":null},{"id":"2205.02359","title":"FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation","created":"2022-05-04","cited_by_count":5,"area":null},{"id":"2309.13697","title":"Federated Deep Multi-View Clustering with Global Self-Supervision","created":"2023-09-24","cited_by_count":5,"area":null},{"id":"2209.00629","title":"Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction","created":"2022-08-30","cited_by_count":2,"area":null},{"id":"2509.11196","title":"Federated Recommender System with Data Valuation for E-commerce Platform","created":"2025-09-14","cited_by_count":2,"area":null},{"id":"2204.07819","title":"A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data","created":"2022-04-16","cited_by_count":1,"area":null},{"id":"2210.07775","title":"PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems","created":"2022-09-29","cited_by_count":1,"area":null},{"id":"2504.07101","title":"Personalized Recommendation Models in Federated Settings: A Survey","created":"2025-03-10","cited_by_count":1,"area":null},{"id":"2604.20031","title":"Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints","created":"2026-04-21","cited_by_count":1,"area":null},{"id":"2204.07818","title":"Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices","created":"2022-04-16","cited_by_count":0,"area":null},{"id":"2308.01197","title":"GNN4FR: A Lossless GNN-based Federated Recommendation Framework","created":"2023-07-25","cited_by_count":0,"area":null},{"id":"2309.08635","title":"FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems","created":"2023-09-14","cited_by_count":0,"area":null},{"id":"2312.15420","title":"FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization","created":"2023-12-24","cited_by_count":0,"area":null},{"id":"2411.19678","title":"Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation","created":"2024-11-29","cited_by_count":0,"area":null},{"id":"2507.01285","title":"Far From Sight, Far From Mind: Inverse Distance Weighting for Graph Federated Recommendation","created":"2025-07-02","cited_by_count":0,"area":null},{"id":"2608.27826","title":"Personalized and Multi-View Representation for Federated Cold-Start Recommendation","created":"2026-08-28","cited_by_count":0,"area":null}],"next_cursor":null}