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Federated Learning for Histopathology Image Classification: A Systematic Review
0
Zitationen
4
Autoren
2026
Jahr
Abstract
: Future work should prioritize standardized evaluation protocols, efficient aggregation methods, model personalization, robustness, and interpretability, with validation across multi-institutional clinical environments to fully realize the benefits of FL in histopathological image classification.
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