Mohamed Akrout

Benchmarking and Analyzing Deep Neural Network Training

2018

The recent popularity of deep neural networks (DNNs) has generated considerable research interest in performing DNN-related computation efficiently. However, the primary focus is usually very narrow and limited to (i) inference - i.e. how to …

Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues

2023 · IEEE Communications Surveys & Tutorials

Data-driven machine learning (ML) is promoted as one potential technology to be used in next-generation wireless systems. This led to a large body of research work that applies ML techniques to solve problems in different …