Machine Learning In Internet Of Things

This article discusses the use of artificial intelligence methods in practical IoT solutions. It examines the challenges associated with data analysis and understanding, the need to process, classify, and understand data quickly and effectively, and the potential for various problems. It also looks at the idea of federated learning, which enables the training of one model on many clients while maintaining data privacy, and the use of GAN networks for data augmentation. Finally, it explores the topics of machine learning, optimization techniques, data processing/analysis, and security in such systems.