{"total":26,"rows":[{"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":"2208.14197","title":"A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies","created":"2022-08-26","cited_by_count":28,"area":null},{"id":"2202.10336","title":"Artificial Intelligence for the Metaverse: A Survey","created":"2022-02-15","cited_by_count":25,"area":null},{"id":"2105.14659","title":"Federated Learning for Industrial Internet of Things in Future Industries","created":"2021-05-31","cited_by_count":14,"area":null},{"id":"2104.10501","title":"A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things","created":"2021-04-21","cited_by_count":11,"area":null},{"id":"2104.13130","title":"Secure and Efficient Federated Learning Through Layering and Sharding Blockchain","created":"2021-04-27","cited_by_count":10,"area":null},{"id":"2211.12049","title":"GitFL: Adaptive Asynchronous Federated Learning using Version Control","created":"2022-11-22","cited_by_count":10,"area":null},{"id":"2303.12414","title":"Delay-Aware Hierarchical Federated Learning","created":"2023-03-22","cited_by_count":9,"area":null},{"id":"2404.10110","title":"Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning","created":"2024-04-15","cited_by_count":6,"area":null},{"id":"2404.14497","title":"Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning","created":"2024-04-22","cited_by_count":5,"area":null},{"id":"2312.04688","title":"Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights","created":"2023-12-07","cited_by_count":4,"area":null},{"id":"2303.14966","title":"Adaptive Federated Learning via New Entropy Approach","created":"2023-03-27","cited_by_count":3,"area":null},{"id":"2112.14244","title":"Robust Convergence in Federated Learning through Label-wise Clustering","created":"2021-12-28","cited_by_count":2,"area":null},{"id":"2207.12245","title":"Decentralized digital twins of complex dynamical systems","created":"2022-07-07","cited_by_count":2,"area":null},{"id":"2212.04622","title":"Digital Twin for Real-time Li-ion Battery State of Health Estimation with Partially Discharged Cycling Data","created":"2022-12-09","cited_by_count":2,"area":null},{"id":"2311.04350","title":"Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks","created":"2023-11-07","cited_by_count":2,"area":null},{"id":"2501.17512","title":"A survey on Clustered Federated Learning: Taxonomy, Analysis and Applications","created":"2025-01-29","cited_by_count":2,"area":null},{"id":"2310.02651","title":"Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning","created":"2023-10-04","cited_by_count":1,"area":null},{"id":"2507.08743","title":"Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection","created":"2025-07-11","cited_by_count":1,"area":null},{"id":"2303.15799","title":"FedAgg: Adaptive Federated Learning with Aggregated Gradients","created":"2023-03-28","cited_by_count":0,"area":null},{"id":"2307.05888","title":"Efficient Task Offloading Algorithm for Digital Twin in Edge/Cloud Computing Environment","created":"2023-07-12","cited_by_count":0,"area":null},{"id":"2501.01584","title":"Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks","created":"2025-01-03","cited_by_count":0,"area":null},{"id":"2503.15822","title":"Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks","created":"2025-03-20","cited_by_count":0,"area":null},{"id":"2602.18627","title":"Federated Learning-Assisted Optimization of Mobile Transmission with Digital Twins","created":"2026-02-20","cited_by_count":0,"area":null},{"id":"2604.06610","title":"TwinLoop: Simulation-in-the-Loop Digital Twins for Online Multi-Agent Reinforcement Learning","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2608.09208","title":"FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning","created":"2026-08-10","cited_by_count":0,"area":null}],"next_cursor":null}