{"total":25,"rows":[{"id":"2306.05980","title":"Federated Learning for Medical Image Analysis: A Survey","created":"2023-06-09","cited_by_count":78,"area":null},{"id":"2209.13232","title":"A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective","created":"2022-09-27","cited_by_count":56,"area":null},{"id":"2202.07256","title":"Federated Graph Neural Networks: Overview, Techniques and Challenges","created":"2022-02-15","cited_by_count":52,"area":null},{"id":"2401.11755","title":"FedGTA: Topology-aware Averaging for Federated Graph Learning","created":"2024-01-22","cited_by_count":44,"area":null},{"id":"2207.11812","title":"Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications","created":"2022-07-24","cited_by_count":14,"area":null},{"id":"2408.09393","title":"Federated Graph Learning with Structure Proxy Alignment","created":"2024-08-18","cited_by_count":14,"area":null},{"id":"2307.04338","title":"Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey","created":"2023-07-10","cited_by_count":10,"area":null},{"id":"2507.16541","title":"A Comprehensive Data-centric Overview of Federated Graph Learning","created":"2025-07-22","cited_by_count":7,"area":null},{"id":"2308.11636","title":"Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning","created":"2023-08-14","cited_by_count":6,"area":null},{"id":"2504.05238","title":"Federated Learning for Medical Image Classification: A Comprehensive Benchmark","created":"2025-04-07","cited_by_count":6,"area":null},{"id":"2510.25657","title":"Subgraph Federated Learning via Spectral Methods","created":"2025-10-29","cited_by_count":6,"area":null},{"id":"2401.15203","title":"FedGT: Federated Node Classification with Scalable Graph Transformer","created":"2024-01-26","cited_by_count":5,"area":null},{"id":"2503.01838","title":"GRAIN: Exact Graph Reconstruction from Gradients","created":"2025-03-03","cited_by_count":5,"area":null},{"id":"2308.10302","title":"Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification","created":"2023-08-20","cited_by_count":4,"area":null},{"id":"2308.08259","title":"Graph Relation Aware Continual Learning","created":"2023-08-16","cited_by_count":3,"area":null},{"id":"2402.19163","title":"Decoupled Subgraph Federated Learning","created":"2024-02-29","cited_by_count":3,"area":null},{"id":"2407.15320","title":"Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence","created":"2024-07-07","cited_by_count":3,"area":null},{"id":"2412.19229","title":"Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning","created":"2024-12-26","cited_by_count":3,"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":"2312.10237","title":"A Distributed Privacy Preserving Model for the Detection of Alzheimer's Disease","created":"2023-12-15","cited_by_count":1,"area":null},{"id":"2403.00023","title":"Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy","created":"2024-02-28","cited_by_count":0,"area":null},{"id":"2512.06303","title":"Multimodal Graph Neural Networks for Prognostic Modeling of Brain Network Reorganization","created":"2025-12-06","cited_by_count":0,"area":null},{"id":"2512.23235","title":"FairGFL: Privacy-Preserving Fairness-Aware Federated Learning with Overlapping Subgraphs","created":"2025-12-29","cited_by_count":0,"area":null},{"id":"2603.07743","title":"Hide and Find: A Distributed Adversarial Attack on Federated Graph Learning","created":"2026-03-08","cited_by_count":0,"area":null},{"id":"2608.07393","title":"FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity","created":"2026-08-07","cited_by_count":0,"area":null}],"next_cursor":null}