{"total":15,"rows":[{"id":"2305.05644","title":"Towards Building the Federated GPT: Federated Instruction Tuning","created":"2023-05-09","cited_by_count":185,"area":null},{"id":"2301.02982","title":"Why Batch Normalization Damage Federated Learning on Non-IID Data?","created":"2023-01-08","cited_by_count":29,"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":"2303.06530","title":"Making Batch Normalization Great in Federated Deep Learning","created":"2023-03-12","cited_by_count":8,"area":null},{"id":"2405.14670","title":"Overcoming the Challenges of Batch Normalization in Federated Learning","created":"2024-05-23","cited_by_count":4,"area":null},{"id":"2308.09565","title":"Understanding the Role of Layer Normalization in Label-Skewed Federated Learning","created":"2023-08-18","cited_by_count":2,"area":null},{"id":"2310.04412","title":"FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning","created":"2023-10-06","cited_by_count":2,"area":null},{"id":"2312.06454","title":"Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images","created":"2023-12-11","cited_by_count":1,"area":null},{"id":"2501.12193","title":"MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration","created":"2025-01-21","cited_by_count":1,"area":null},{"id":"2506.20651","title":"Hear No Evil: Detecting Gradient Leakage by Malicious Servers in Federated Learning","created":"2025-06-25","cited_by_count":1,"area":null},{"id":"2312.06951","title":"Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2405.13062","title":"StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems","created":"2024-05-20","cited_by_count":0,"area":null},{"id":"2410.02006","title":"An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration","created":"2024-10-02","cited_by_count":0,"area":null},{"id":"2505.21877","title":"Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2510.03838","title":"Technical note on Fisher Information for Robust Federated Cross-Validation","created":"2025-10-04","cited_by_count":0,"area":null}],"next_cursor":null}