Free space optical (FSO) communication technology, also known as optical wireless
communications, has regained a great interest over the last few years. In some cases, FSO …

Reconfigurable optical networks have emerged as a promising technology to efficiently
serve the fast-growing traffic produced by the digital society. This paper provides a survey of …

We present a system for training deep neural networks for object detection using synthetic
images. To handle the variability in real-world data, the system relies upon the technique of …

Reconstructing the detailed geometric structure of a face from a given image is a key to
many computer vision and graphics applications, such as motion capture and reenactment …

Data centers (DCs) is becoming increasingly an integral part of the computing infrastructures
of most enterprises. Therefore, the concept of DC networks (DCNs) is receiving an increased …

As deep neural network (DNN) models grow ever-larger, they can achieve higher accuracy
and solve more complex problems. This trend has been enabled by an increase in available …

Emerging optical technologies introduce opportunities to recon gure network topologies at
runtime. The resulting topological exibilities can be exploited to design novel demand-aware …

Motivated by mobile edge computing and wireless data centers, we study a wireless
distributed computing framework where the distributed nodes exchange information over a …

Modern cloud applications has led to a huge increase in multicast flows, which is becoming
one of the primary communication patterns in nowadays datacenter networks. Emerging …

Many modern cloud applications frequently generate multicast traffic, which is becoming one
of the primary communication patterns in datacenters. Emerging reconfigurable datacenter …