{"total":30,"rows":[{"id":"2307.10616","title":"Heterogeneous Federated Learning: State-of-the-art and Research Challenges","created":"2023-07-20","cited_by_count":161,"area":null},{"id":"2308.15367","title":"Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation","created":"2023-08-29","cited_by_count":54,"area":null},{"id":"2306.01334","title":"Federated Domain Generalization: A Survey","created":"2023-06-02","cited_by_count":25,"area":null},{"id":"2404.08564","title":"Federated Distillation: A Survey","created":"2024-04-02","cited_by_count":15,"area":null},{"id":"2405.09839","title":"Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations","created":"2024-05-16","cited_by_count":12,"area":null},{"id":"2306.05879","title":"FedWon: Triumphing Multi-domain Federated Learning Without Normalization","created":"2023-06-09","cited_by_count":11,"area":null},{"id":"2401.08977","title":"FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data","created":"2024-01-17","cited_by_count":10,"area":null},{"id":"2402.18372","title":"FedUV: Uniformity and Variance for Heterogeneous Federated Learning","created":"2024-02-27","cited_by_count":9,"area":null},{"id":"2401.17124","title":"Spectral Co-Distillation for Personalized Federated Learning","created":"2024-01-29","cited_by_count":8,"area":null},{"id":"2403.12167","title":"A Systematic Review of Generalization Research in Medical Image Classification","created":"2024-03-18","cited_by_count":8,"area":null},{"id":"2312.13923","title":"Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning","created":"2023-12-21","cited_by_count":7,"area":null},{"id":"2410.03315","title":"Influence-Oriented Personalized Federated Learning","created":"2024-10-04","cited_by_count":7,"area":null},{"id":"2209.05148","title":"Personalized Federated Learning with Communication Compression","created":"2022-09-12","cited_by_count":6,"area":null},{"id":"2304.07882","title":"Federated Learning of Shareable Bases for Personalization-Friendly Image Classification","created":"2023-04-16","cited_by_count":6,"area":null},{"id":"2410.17265","title":"Federated brain tumor segmentation: an extensive benchmark","created":"2024-10-07","cited_by_count":5,"area":null},{"id":"2306.08720","title":"A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation","created":"2023-06-14","cited_by_count":4,"area":null},{"id":"2506.23759","title":"Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos","created":"2025-06-30","cited_by_count":4,"area":null},{"id":"2408.03208","title":"Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery","created":"2024-08-06","cited_by_count":3,"area":null},{"id":"2504.18020","title":"Federated Client-tailored Adapter for Medical Image Segmentation","created":"2025-04-25","cited_by_count":3,"area":null},{"id":"2301.07320","title":"Robust Knowledge Adaptation for Federated Unsupervised Person ReID","created":"2023-01-18","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":"2412.19654","title":"Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis","created":"2024-12-27","cited_by_count":2,"area":null},{"id":"2503.23869","title":"Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation","created":"2025-03-31","cited_by_count":2,"area":null},{"id":"2407.14792","title":"FedPartWhole: Federated domain generalization via consistent part-whole hierarchies","created":"2024-07-20","cited_by_count":1,"area":null},{"id":"2408.02019","title":"Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning","created":"2024-08-04","cited_by_count":1,"area":null},{"id":"2211.06276","title":"One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design","created":"2022-11-11","cited_by_count":0,"area":null},{"id":"2312.04281","title":"Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data","created":"2023-12-07","cited_by_count":0,"area":null},{"id":"2412.19987","title":"Delayed Random Partial Gradient Averaging for Federated Learning","created":"2024-12-28","cited_by_count":0,"area":null},{"id":"2506.08167","title":"UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2603.09496","title":"SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding","created":"2026-03-10","cited_by_count":0,"area":null}],"next_cursor":null}