FLAD: Adaptive Federated Learning for DDoS Attack Detection. (arXiv:2205.06661v1 [cs.CR])

Federated Learning (FL) has been recently receiving increasing consideration
from the cybersecurity community as a way to collaboratively train deep
learning models with distributed profiles of cyberthreats, with no disclosure
of training data. Nevertheless, the adoption of FL in cybersecurity is still in
its infancy, and a range of practical aspects have not been properly addressed
yet. Indeed, the Federated Averaging algorithm at the core of the FL concept
requires the availability of test data to control the FL process. …

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