Bureaucrats, dave_user, Administrators
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For each experiment, three evaluations were performed:
* Global evaluation: accuracy and F1-score at the end of each round of FL were tested.
* Local evaluation: accuracy and F1-score at the end of each round of FL were tested.
* Training evaluation: it was computed loss, accuracy, and F1-score.
Experiments were run both in the local and cloud environments. Detailed results are illustrated in [1]. In essence, the results are very similar for both frameworks. Thus, they can be considered equivalent from the point of view of the metrics considered.
== Privacy and security ==
== Ease of use ==
== Execution time ==
= Applying NVFlare to a real-word case =