{"total":26,"rows":[{"id":"2309.00363","title":"FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning","created":"2023-09-01","cited_by_count":149,"area":null},{"id":"2211.12814","title":"Vertical Federated Learning: Concepts, Advances and Challenges","created":"2022-11-23","cited_by_count":108,"area":null},{"id":"2204.05011","title":"FederatedScope: A Flexible Federated Learning Platform for Heterogeneity","created":"2022-04-11","cited_by_count":53,"area":null},{"id":"2304.01829","title":"A Survey on Vertical Federated Learning: From a Layered Perspective","created":"2023-04-04","cited_by_count":30,"area":null},{"id":"2405.17495","title":"Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey","created":"2024-05-25","cited_by_count":14,"area":null},{"id":"2210.02910","title":"Federated Boosted Decision Trees with Differential Privacy","created":"2022-10-06","cited_by_count":9,"area":null},{"id":"2310.09827","title":"VFLAIR: A Research Library and Benchmark for Vertical Federated Learning","created":"2023-10-15","cited_by_count":8,"area":null},{"id":"2402.03688","title":"A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective","created":"2024-02-06","cited_by_count":7,"area":null},{"id":"2307.10318","title":"Eliminating Label Leakage in Tree-Based Vertical Federated Learning","created":"2023-07-19","cited_by_count":6,"area":null},{"id":"2108.07463","title":"Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation","created":"2021-08-17","cited_by_count":5,"area":null},{"id":"2310.11865","title":"Effective and Efficient Federated Tree Learning on Hybrid Data","created":"2023-10-18","cited_by_count":5,"area":null},{"id":"2305.16794","title":"Secure Vertical Federated Learning Under Unreliable Connectivity","created":"2023-05-26","cited_by_count":4,"area":null},{"id":"2401.10765","title":"Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection","created":"2024-01-19","cited_by_count":3,"area":null},{"id":"2501.13890","title":"Federated Granger Causality Learning for Interdependent Clients with State Space Representation","created":"2025-01-23","cited_by_count":3,"area":null},{"id":"2504.02285","title":"Tree-based Models for Vertical Federated Learning: A Survey","created":"2025-04-03","cited_by_count":3,"area":null},{"id":"2306.16077","title":"Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization","created":"2023-06-28","cited_by_count":2,"area":null},{"id":"2405.20761","title":"Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning","created":"2024-05-31","cited_by_count":2,"area":null},{"id":"2302.10631","title":"FedST: Secure Federated Shapelet Transformation for Time Series Classification","created":"2023-02-21","cited_by_count":1,"area":null},{"id":"2404.04490","title":"Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning","created":"2024-04-06","cited_by_count":1,"area":null},{"id":"2404.17990","title":"TabVFL: Improving Latent Representation in Vertical Federated Learning","created":"2024-04-27","cited_by_count":1,"area":null},{"id":"2412.12844","title":"Concurrent vertical and horizontal federated learning with fuzzy cognitive maps","created":"2024-12-17","cited_by_count":1,"area":null},{"id":"2202.05139","title":"Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction","created":"2022-02-10","cited_by_count":0,"area":null},{"id":"2208.06093","title":"Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection","created":"2022-08-12","cited_by_count":0,"area":null},{"id":"2307.10579","title":"SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning","created":"2023-07-20","cited_by_count":0,"area":null},{"id":"2506.14911","title":"Event-Driven Online Vertical Federated Learning","created":"2025-06-17","cited_by_count":0,"area":null},{"id":"2605.26903","title":"Practical Anonymous Two-Party Gradient Boosting Decision Tree","created":"2026-05-26","cited_by_count":0,"area":null}],"next_cursor":null}