This graduate-level textbook is ideally suited for lecturing the most relevant topics of Edge Computing and its ties to Artificial Intelligence (AI) and Machine Learning (ML) approaches. It starts from basics and gradually advances, step-by-step, to ways AI/ML concepts can help or benefit from Edge Computing platforms.The book is structured into seven chapters; each comes with its own dedicated set of teaching materials (practical skills, demonstration videos, questions, lab assignments, etc.). Chapter 1 opens the book and comprehensively introduces the concept of distributed computing...

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2022, held in Messina, Italy, in November 17-18, 2022.The 9 full papers were carefully reviewed and selected from 25 submissions. The papers are organized in topical tracks: mobile computing; machine learning/deep learning; dependable systems; and emerging applications.