Decouple, Purify and Unite: Semantic-Structural Prototype Learning for Federated Medical Segmentation

cs.CV

Submitted: 2026-10-03

Updated: 2026-10-03

Comments: 17 pages, 9 figures, 7 tables

Code: https://github.com/FeTS-AI/Challenge

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Federated Optimization: Distributed Machine Learning for On-Device Intelligence
• Instance Normalization: The Missing Ingredient for Fast Stylization
• The Federated Tumor Segmentation (FeTS) Challenge

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