{"total":19,"rows":[{"id":"2505.04979","title":"Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization","created":"2025-05-08","cited_by_count":4,"area":null},{"id":"2505.06907","title":"A Survey on Foundation Models for Personalized Federated Intelligence","created":"2025-05-11","cited_by_count":3,"area":null},{"id":"2505.18494","title":"FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation","created":"2025-05-24","cited_by_count":3,"area":null},{"id":"2509.22700","title":"Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning","created":"2025-09-21","cited_by_count":2,"area":null},{"id":"2505.23555","title":"Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2605.08636","title":"EdgeFlowerTune: Evaluating Federated LLM Fine-Tuning Under Realistic Edge System Constraints","created":"2026-05-09","cited_by_count":1,"area":null},{"id":"2502.17260","title":"Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach","created":"2025-02-24","cited_by_count":0,"area":null},{"id":"2504.10817","title":"FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2504.12577","title":"Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients","created":"2025-04-17","cited_by_count":0,"area":null},{"id":"2505.20648","title":"Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2507.20571","title":"DAG-AFL:Directed Acyclic Graph-based Asynchronous Federated Learning","created":"2025-07-28","cited_by_count":0,"area":null},{"id":"2508.09489","title":"Large-Small Model Collaborative Framework for Federated Continual Learning","created":"2025-08-13","cited_by_count":0,"area":null},{"id":"2510.15967","title":"Gains: Fine-grained Federated Domain Adaptation in Open Set","created":"2025-10-12","cited_by_count":0,"area":null},{"id":"2511.17631","title":"Enhanced Federated Deep Multi-View Clustering under Uncertainty Scenario","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2602.12014","title":"FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Client","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2603.02785","title":"HiLoRA: Hierarchical Low-Rank Adaptation for Personalized Federated Learning","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2604.19015","title":"FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2606.00947","title":"Silent Failures in Federated Personalization of Foundation Models","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2608.08525","title":"Out-of-Distribution Federated Distillation with Domain-Aware Proxy","created":"2026-08-09","cited_by_count":0,"area":null}],"next_cursor":null}