Computer Networks Training

Mastering Computer Vision with the Python programming Language

Network Foundations for Network Security and IT

Master CHFI: Complete Guide to Digital Forensics, Solving Cyber Mysteries & Digital Investigations. (CHFIv10) Exam Prep

Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, federated learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links.

This course will teach you WLAN from basic to advanced networking including all networking fundamentals.

This course will teach you WLAN from basic to advanced networking including all networking fundamentals.

Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine vision in self-driving cars.

Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!