Distributed stochastic gradient descent is an important subroutine in distributed learning. A setting of particular interest is when the clients are mobile devices, where two important …
Motivated by the need for distributed learning and optimization algorithms with low communication cost, we study communication efficient algorithms for distributed mean …
GL Mullen, D Panario - 2013 - api.taylorfrancis.com
The CRC Handbook of Finite Fields (hereafter referred to as the Handbook) is a reference book for the theory and applications of finite fields. It is not intended to be an introductory …
I Bengtsson, K Życzkowski - 2017 - books.google.com
Quantum information theory is a branch of science at the frontier of physics, mathematics, and information science, and offers a variety of solutions that are impossible using classical …
Applications of the Analytic Network Process (ANP) in decision making demonstrate to our considerable amazement, and by way of validation, that people as they experience life know …
The aim of this book is to concisely present fundamental ideas, results, and techniques in linear algebra and mainly matrix theory. The book contains ten chapters covering various …
JM Velazquez-Gutierrez… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Sequences and their properties have been studied widely in different research areas because they have useful characteristics which are used in many applications. Correlation …
This chapter deals with multi-output Boolean functions viewed from a cryptographic viewpoint, that is, functions from the vector space Fn2, of all binary vectors of length n, to the …
Introduction to Petroleum Seismology, second edition, provides the theoretical and practical foundation for tackling present and future challenges of petroleum seismology, especially …