{"total":15,"rows":[{"id":"2303.02213","title":"Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions","created":"2023-03-03","cited_by_count":33,"area":null},{"id":"2203.09702","title":"Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey","created":"2022-03-18","cited_by_count":31,"area":null},{"id":"2505.01821","title":"Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey","created":"2025-05-03","cited_by_count":14,"area":null},{"id":"2302.03284","title":"Unsupervised Deep Learning for IoT Time Series","created":"2023-02-07","cited_by_count":11,"area":null},{"id":"2310.02874","title":"Recent Methodological Advances in Federated Learning for Healthcare","created":"2023-10-04","cited_by_count":11,"area":null},{"id":"2311.15460","title":"Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis","created":"2023-11-27","cited_by_count":5,"area":null},{"id":"2310.05269","title":"Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications","created":"2023-10-08","cited_by_count":3,"area":null},{"id":"2508.18803","title":"A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks","created":"2025-08-26","cited_by_count":3,"area":null},{"id":"2504.00652","title":"Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asia","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2508.10255","title":"Federated Anomaly Detection for Multi-Tenant Cloud Platforms with Personalized Modeling","created":"2025-08-14","cited_by_count":1,"area":null},{"id":"2601.01701","title":"Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT","created":"2026-01-05","cited_by_count":1,"area":null},{"id":"2203.03300","title":"Machine Learning based Anomaly Detection for Smart Shirt: A Systematic Review","created":"2022-03-07","cited_by_count":0,"area":null},{"id":"2404.12623","title":"End-to-End Verifiable Decentralized Federated Learning","created":"2024-04-19","cited_by_count":0,"area":null},{"id":"2606.23871","title":"Federated Survival Analysis in Healthcare: A Multi-Model Evaluation on Cross-Institutional Heterogeneous Breast Cancer Data","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2609.10545","title":"MUC-FL: Block-Wise Marginal Utility Contribution for Communication-Efficient Federated Learning","created":"2026-06-17","cited_by_count":0,"area":null}],"next_cursor":null}