{"total":44,"rows":[{"id":"2106.13423","title":"Federated Graph Classification over Non-IID Graphs","created":"2021-06-25","cited_by_count":114,"area":null},{"id":"2203.11834","title":"Improving Generalization in Federated Learning by Seeking Flat Minima","created":"2022-03-22","cited_by_count":98,"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":"2202.13670","title":"FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving","created":"2022-02-28","cited_by_count":41,"area":null},{"id":"2106.09580","title":"Optimality and Stability in Federated Learning: A Game-theoretic Approach","created":"2021-06-17","cited_by_count":40,"area":null},{"id":"2111.06061","title":"Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI","created":"2021-11-11","cited_by_count":39,"area":null},{"id":"2210.02326","title":"Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning","created":"2022-10-05","cited_by_count":35,"area":null},{"id":"2201.07316","title":"Towards Federated Clustering: A Federated Fuzzy $c$-Means Algorithm (FFCM)","created":"2022-01-18","cited_by_count":30,"area":null},{"id":"2405.16585","title":"Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity","created":"2024-05-26","cited_by_count":30,"area":null},{"id":"2310.18285","title":"Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning","created":"2023-10-27","cited_by_count":20,"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":"2111.14345","title":"SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning","created":"2021-11-29","cited_by_count":11,"area":null},{"id":"2211.12578","title":"Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift","created":"2022-11-22","cited_by_count":10,"area":null},{"id":"2311.18498","title":"Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach","created":"2023-11-30","cited_by_count":9,"area":null},{"id":"2301.13530","title":"Domain-Generalizable Multiple-Domain Clustering","created":"2023-01-31","cited_by_count":7,"area":null},{"id":"2312.09881","title":"Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes","created":"2023-12-15","cited_by_count":7,"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":"2201.10899","title":"Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients","created":"2022-01-26","cited_by_count":6,"area":null},{"id":"2305.13041","title":"Distributed Learning over Networks with Graph-Attention-Based Personalization","created":"2023-05-22","cited_by_count":6,"area":null},{"id":"2502.03340","title":"Interaction-Aware Gaussian Weighting for Clustered Federated Learning","created":"2025-02-05","cited_by_count":5,"area":null},{"id":"2212.14395","title":"Graph Federated Learning for CIoT Devices in Smart Home Applications","created":"2022-12-29","cited_by_count":4,"area":null},{"id":"2306.06399","title":"Personalized Graph Federated Learning with Differential Privacy","created":"2023-06-10","cited_by_count":4,"area":null},{"id":"2412.13757","title":"Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data","created":"2024-12-18","cited_by_count":4,"area":null},{"id":"2303.09531","title":"GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data","created":"2023-03-16","cited_by_count":3,"area":null},{"id":"2311.18578","title":"Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum","created":"2023-11-30","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":"2112.14244","title":"Robust Convergence in Federated Learning through Label-wise Clustering","created":"2021-12-28","cited_by_count":2,"area":null},{"id":"2404.13324","title":"Collaborative Visual Place Recognition through Federated Learning","created":"2024-04-20","cited_by_count":2,"area":null},{"id":"2407.17754","title":"DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations","created":"2024-07-25","cited_by_count":2,"area":null},{"id":"2408.07966","title":"Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization","created":"2024-08-15","cited_by_count":2,"area":null},{"id":"2405.13584","title":"Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2504.17520","title":"Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2210.16193","title":"M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction","created":"2022-10-27","cited_by_count":0,"area":null},{"id":"2307.09801","title":"Graph Federated Learning Based on the Decentralized Framework","created":"2023-07-19","cited_by_count":0,"area":null},{"id":"2312.09023","title":"A Framework for Exploring Federated Community Detection","created":"2023-12-14","cited_by_count":0,"area":null},{"id":"2403.09284","title":"DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning","created":"2024-03-14","cited_by_count":0,"area":null},{"id":"2407.05098","title":"FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning","created":"2024-07-06","cited_by_count":0,"area":null},{"id":"2407.11085","title":"SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation","created":"2024-07-14","cited_by_count":0,"area":null},{"id":"2410.12343","title":"Federated Temporal Graph Clustering","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2411.03231","title":"LOGSAFE: Logic-Guided Verification for Trustworthy Federated Time-Series Learning","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2509.16101","title":"Personalized Federated Heat-Kernel Enhanced Multi-View Clustering via Advanced Tensor Decomposition Techniques","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2512.16247","title":"Sharpness-aware Federated Graph Learning","created":"2025-12-18","cited_by_count":0,"area":null},{"id":"2609.28722","title":"Upholding Robustness in Federated Learning: Trends, Emerging Strategies, and Research Opportunities","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2610.03054","title":"RIPPLE in Still Water: Zero-Shot Clustering in Federated Learning with Wavelet Scattering Transform","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}