ISIC-2019

ISIC2019 is a dataset that contains medical imagery used to evaluate the performance of federated learning methods in scenarios with heterogeneous data distributions.

Papers using ISIC-2019 (5)

FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios2026FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity2023 · 3 citesFedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation2023 · 3 citesFrom Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching2024Evidential Federated Learning for Skin Lesion Image Classification2024