A Framework for Verifiable and Auditable Federated Anomaly Detection. (arXiv:2203.07802v1 [cs.LG])

Federated Leaning is an emerging approach to manage cooperation between a
group of agents for the solution of Machine Learning tasks, with the goal of
improving each agent's performance without disclosing any data. In this paper
we present a novel algorithmic architecture that tackle this problem in the
particular case of Anomaly Detection (or classification or rare events), a
setting where typical applications often comprise data with sensible
information, but where the scarcity of anomalous examples encourages
collaboration. We show …

anomaly detection detection framework lg