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20202026
most citedCPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning

35 citations · 39 across the 5 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.LG2024

FedPID: An Aggregation Method for Federated Learning

Leon Mächler, Gustav Grimberg, Ivan Ezhov +4

This paper presents FedPID, our submission to the Federated Tumor Segmentation Challenge 2024 (FETS24). Inspired by FedCostWAvg and FedPIDAvg, our winning contributions to FETS21 a…

cs.CV2024

Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain

Markus R. Bujotzek, Ünal Akünal, Stefan Denner +17

Objective: Federated Learning (FL) enables collaborative model training while keeping data locally. Currently, most FL studies in radiology are conducted in simulated environments…