Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

Abstract: Federated learning (FL) allows training machine learning models on distributed data without compromising privacy. However, FL is vulnerable to model-poisoning attacks where malicious clients ...

Abstract: Electrical models of linear partial differential equations may serve several practical purposes: 1. If the networks are physically constructed, they actually may solve the equations within ...