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The results show that robust outlier exclusion and public verifiability can be jointly achieved in a federated learning setting.
A meta-review of 18 studies between 2019 and 2026, from which 83 ICS, or ICS directly related, cybersecurity datasets are identified, harmonised, and characterised using a unified five-dimensional taxonomy, identifies three structural imbalances which constrain the scope and feasibility of several evaluation practices.
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