{"total":31,"rows":[{"id":"2211.12814","title":"Vertical Federated Learning: Concepts, Advances and Challenges","created":"2022-11-23","cited_by_count":108,"area":null},{"id":"2104.14362","title":"From Distributed Machine Learning to Federated Learning: A Survey","created":"2021-04-29","cited_by_count":66,"area":null},{"id":"2304.07718","title":"Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value","created":"2023-04-16","cited_by_count":38,"area":null},{"id":"2404.15381","title":"Advances and Open Challenges in Federated Foundation Models","created":"2024-04-23","cited_by_count":36,"area":null},{"id":"2208.03392","title":"Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions","created":"2022-08-05","cited_by_count":35,"area":null},{"id":"2409.11585","title":"Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework","created":"2024-09-17","cited_by_count":19,"area":null},{"id":"2102.01375","title":"Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges","created":"2021-02-02","cited_by_count":17,"area":null},{"id":"2309.14675","title":"FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler","created":"2023-09-26","cited_by_count":13,"area":null},{"id":"2302.13473","title":"Towards Interpretable Federated Learning","created":"2023-02-27","cited_by_count":11,"area":null},{"id":"2207.09087","title":"Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond","created":"2022-07-19","cited_by_count":7,"area":null},{"id":"2302.09844","title":"FederatedTrust: A Solution for Trustworthy Federated Learning","created":"2023-02-20","cited_by_count":6,"area":null},{"id":"2307.02040","title":"VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks","created":"2023-07-05","cited_by_count":6,"area":null},{"id":"2404.00673","title":"A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures","created":"2024-03-31","cited_by_count":6,"area":null},{"id":"2411.05874","title":"Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review","created":"2024-11-07","cited_by_count":6,"area":null},{"id":"2107.06580","title":"IFedAvg: Interpretable Data-Interoperability for Federated Learning","created":"2021-07-14","cited_by_count":5,"area":null},{"id":"2212.00322","title":"Hijack Vertical Federated Learning Models As One Party","created":"2022-12-01","cited_by_count":5,"area":null},{"id":"2302.14031","title":"Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain","created":"2023-02-27","cited_by_count":5,"area":null},{"id":"2311.14137","title":"Privacy-Preserving Algorithmic Recourse","created":"2023-11-23","cited_by_count":5,"area":null},{"id":"2405.02364","title":"A Survey on Contribution Evaluation in Vertical Federated Learning","created":"2024-05-03","cited_by_count":5,"area":null},{"id":"2306.14113","title":"Exploring Data Redundancy in Real-world Image Classification through Data Selection","created":"2023-06-25","cited_by_count":3,"area":null},{"id":"2405.20126","title":"Federated and Transfer Learning for Cancer Detection Based on Image Analysis","created":"2024-05-30","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":"2210.16205","title":"Local Model Reconstruction Attacks in Federated Learning and their Uses","created":"2022-10-28","cited_by_count":2,"area":null},{"id":"2307.12903","title":"Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case","created":"2023-07-24","cited_by_count":2,"area":null},{"id":"2412.01460","title":"A Comprehensive Study of Shapley Value in Data Analytics","created":"2024-12-02","cited_by_count":2,"area":null},{"id":"2308.02465","title":"Label Inference Attacks against Node-level Vertical Federated GNNs","created":"2023-08-04","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":"2212.03373","title":"Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration","created":"2022-12-06","cited_by_count":0,"area":null},{"id":"2312.03120","title":"The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning","created":"2023-12-05","cited_by_count":0,"area":null},{"id":"2502.15073","title":"Visualizing Machine Learning Models for Enhanced Financial Decision-Making and Risk Management","created":"2025-02-20","cited_by_count":0,"area":null},{"id":"2604.17956","title":"Federated Rule Ensemble Method in Medical Data","created":"2026-04-20","cited_by_count":0,"area":null}],"next_cursor":null}