AI RESEARCH
FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation
arXiv CS.CV
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ArXi:2603.11659v1 Announce Type: new Federated learning (FL) offers a privacy-preserving paradigm for collaborative medical image analysis without sharing raw data. However, the absence of standardized benchmarks for medical image segmentation hinders fair and comprehensive evaluation of FL methods. To address this gap, we