39 citations · 77 across the 14 of their papers we have counts for
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cs.LG2022★ 2 cited
Reward Systems for Trustworthy Medical Federated Learning
Konstantin D. Pandl, Florian Leiser, Scott Thiebes +1
Federated learning (FL) has received high interest from researchers and practitioners to train machine learning (ML) models for healthcare. Ensuring the trustworthiness of these mo…
cs.LG2022★ 1 cited
Practitioner Motives to Use Different Hyperparameter Optimization Methods
Niclas Kannengießer, Niklas Hasebrook, Felix Morsbach +5
Programmatic hyperparameter optimization (HPO) methods, such as Bayesian optimization and evolutionary algorithms, are highly sample-efficient in identifying optimal hyperparameter…