FedPIDAvg: A PID controller inspired aggregation method for Federated Learning

no code implementations • 24 Apr 2023 • Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold

Another key challenge was the vastly varying size of data samples per center.

Federated Learning Tumor Segmentation

FedCostWAvg: A new averaging for better Federated Learning

no code implementations • 16 Nov 2021 • Leon Mächler, Ivan Ezhov, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Timo Loehr, Benedikt Wiestler, Bjoern Menze

We propose a simple new aggregation strategy for federated learning that won the MICCAI Federated Tumor Segmentation Challenge 2021 (FETS), the first ever challenge on Federated Learning in the Machine Learning community.

Federated Learning Segmentation +1

Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations

no code implementations • 3 Sep 2021 • Suprosanna Shit, Ivan Ezhov, Leon Mächler, Abinav R., Jana Lipkova, Johannes C. Paetzold, Florian Kofler, Marie Piraud, Bjoern H. Menze

In this paper, we propose a neural solver to learn an optimal iterative scheme in a data-driven fashion for any class of PDEs.