HAM-10000

The HAM-10000 dataset is a multimodal skin lesion dataset used to evaluate the performance of classification models in the context of privacy-preserving federated learning.

Papers using HAM-10000 (3)

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning2025 · 1 citesHybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification2025Suppressing Poisoning Attacks on Federated Learning for Medical Imaging2022 · 19 cites