… Abstract—Resource allocation in wireless networks, such as device-to-device (D2D) … the
MINLP problems in wireless communications. In this paper, we use imitation learning method to …

… edge learning, to aggregate local learning updates at the network edge in lieu of users’ raw
data. Aiming at accelerating … criterion, called learning efficiency. We then formulate a training …

… network-accelerated FL system over wireless edge by systematically and practically taming
the networking-… The overall of this project is to support Networking for ML by utilizing FL and …

… potential of NN compression and acceleration techniques in DL-based communications.
Since massive MIMO is a critical technique for future wireless networks, we present two case …

… need to have safe and accelerated DRL-based RRM … accelerated DRL-based solutions.
Finally, a case study is conducted to demonstrate the importance of having safe and accelerated …

… In addition, mobile network operators are accelerating the dense deployment of small-cell …
unpredictable wireless communication environments than any previous generation of networks…

… solving networking problems. In Section VI we review recent deep learning applications to
mobile and wireless networking… deep learning in mobile systems feasible and accelerates the …

… each learning framework, we first introduce the motivation for deploying it over wireless
networks… We then introduce an illustrative example to show how to optimize wireless networks to …

… /self-organizing network control and optimization and the ability of the wireless network to
dynamically learn the wireless environment and intelligently control the wireless network and …

In this paper, we introduce a framework for a systematic acceleration of deep neural network
(DNN) design for MIMO detection. A monotonically non-increasing function is used to scale …