This monograph provides students and researchers the groundwork for developing faster and better research results in this dynamic area of research.

Scalable and efficient distributed learning is one of the main driving forces behind the recent rapid advancement of machine learning and artificial intelligenc

This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.

Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine l

This book provides a comprehensive resource and thorough treatment in the latest development of Digital RF Memory (DRFM) technology and their key role in mainta