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cs.CV2024
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels
Malte Tölle, Fernando Navarro, Sebastian Eble +3
Federated learning is one popular paradigm to train a joint model in a distributed, privacy-preserving environment. But partial annotations pose an obstacle meaning that categories…
cs.CV2023★ 1 cited
Why is the winner the best?
Matthias Eisenmann, Annika Reinke, Vivienn Weru +122
International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…