{"total":20,"rows":[{"id":"2406.04845","title":"FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models","created":"2024-06-07","cited_by_count":30,"area":null},{"id":"2301.00767","title":"A Survey on Federated Recommendation Systems","created":"2022-12-27","cited_by_count":25,"area":null},{"id":"2301.08143","title":"Dual Personalization on Federated Recommendation","created":"2023-01-16","cited_by_count":19,"area":null},{"id":"2401.03748","title":"Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training","created":"2024-01-08","cited_by_count":14,"area":null},{"id":"2210.05196","title":"DIGAT: Modeling News Recommendation with Dual-Graph Interaction","created":"2022-10-11","cited_by_count":7,"area":null},{"id":"2301.09223","title":"Doubly Adversarial Federated Bandits","created":"2023-01-22","cited_by_count":7,"area":null},{"id":"2301.00489","title":"Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework","created":"2023-01-01","cited_by_count":6,"area":null},{"id":"2405.17529","title":"Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails","created":"2024-05-27","cited_by_count":5,"area":null},{"id":"2402.14609","title":"Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs","created":"2024-02-22","cited_by_count":4,"area":null},{"id":"2205.10848","title":"Robust Quantity-Aware Aggregation for Federated Learning","created":"2022-05-22","cited_by_count":2,"area":null},{"id":"2310.09401","title":"CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation","created":"2023-10-13","cited_by_count":2,"area":null},{"id":"2502.09797","title":"A Survey on LLM-based News Recommender Systems","created":"2025-02-13","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":"2409.17711","title":"Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation","created":"2024-09-26","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":"2607.27659","title":"Learning Color Grading, No Photo Sharing: Federated Aesthetic Preference Learning for Personalized Image Enhancement","created":"2026-07-30","cited_by_count":1,"area":null},{"id":"2409.00116","title":"FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization","created":"2024-08-28","cited_by_count":0,"area":null},{"id":"2507.15460","title":"Privacy-Preserving Multimodal News Recommendation through Federated Learning","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2508.13064","title":"Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2508.19620","title":"A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions","created":"2025-08-27","cited_by_count":0,"area":null}],"next_cursor":null}