Distributed Machine Learning and Computing

This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques. - Specifies the value of efficient theoretical methods in dealing with large-scale decision-making problems; - Provides an investigation of distributed machine learning and optimization algorithms for large-scale networks; - Includes basics and mathematical foundations needed to analyze and address the interdependent complex networks.