This article proposes a biobjective model-driven autoencoder network for blind HU that simultaneously addresses both linear and nonlinear relationships. By combining linear and nonlinear kernel models ...

Federated learning (FL), as a promising machine learning paradigm for large-scale distributed data, faces two security challenges of privacy and robustness: the transmitted model updates potentially ...

Security isn’t where you thought it was. July pushes you to adapt, shift your roots, and redefine what stability means.