Tasks across diverse application domains can be posed as large-scale optimization
problems, these include graphics, vision, machine learning, imaging, health, scheduling …

The evolution of the Industrial Internet of Things (IIoTs) greatly increases the volume of data
generated by the connected IIoT devices. IIoT data are playing an increasingly important …

Vehicle platooning has been shown to be quite fruitful in the transportation industry to
enhance fuel economy, road throughput, and driving comfort. Model Predictive Control …

With the proliferation of the Internet of Things (IoT) and the rising interconnectedness of
devices, network security faces significant challenges, especially from anomalous activities …

This paper analyzes the integration of Non-Orthogonal Multiple Access (NOMA) in a Fog
Radio Access Network (FRAN) architecture with limited fronthaul capacity. More precisely, it …

Electricity management systems are experiencing significant challenges due to the
increased penetration of distributed energy resources. Electricity flows in distribution …

In the era of Internet of Things (IoT), network-wide anomaly detection is a crucial part of
monitoring IoT networks due to the inherent security vulnerabilities of most IoT devices …

Many machine learning methods entail minimizing a loss-function that is the sum of the
losses for each data point. The form of the loss function is exploited algorithmically, for …

Constrained optimization problems arise frequently in classical machine learning. There
exist frameworks addressing constrained optimization, for instance, CVXPY and GENO …

Adversarial attacks have exposed the vulnerability of one-stage classifiers to carefully
crafted perturbations which were shown to drastically alter their predictions while remaining …