FedHisto-PAST: Parameter-Efficient Stain-Aware Federated Learning for Cross-Site Lung Histopathology Classification
cs.CV, cs.AI
Submitted: 2026-09-25
Updated: 2026-09-25
Comments: Submitted to Engineering Applications of Artificial Intelligence (Elsevier)
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- FedStain: Modeling Higher-Order Stain Statistics for Federated Domain Generalization in Computational Pathology
- Hibou: A Family of Foundational Vision Transformers for Pathology
- LoRA: Low-Rank Adaptation of Large Language Models
- Federated Optimization in Heterogeneous Networks
- FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
- HistoViT: Vision Transformer for Accurate and Scalable Histopathological Cancer Diagnosis
- Lung and Colon Cancer Histopathological Image Dataset (LC25000)
- WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
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