172 citations · 258 across the 10 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2022
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation
Ece Isik-Polat, Gorkem Polat, Altan Kocyigit +1
Availability of large, diverse, and multi-national datasets is crucial for the development of effective and clinically applicable AI systems in the medical imaging domain. However,…
cs.LG2021★ 16 cited
ARFED: Attack-Resistant Federated averaging based on outlier elimination
Ece Isik-Polat, Gorkem Polat, Altan Kocyigit
In federated learning, each participant trains its local model with its own data and a global model is formed at a trusted server by aggregating model updates coming from these par…