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Matrix factorization is an advanced and efficient technique for recommender systems. Recently, Stochastic Gradient Descent (SGD) method is considered to be one of the most popular techniques for matrix factorization. SGD is a sequential algorithm, which is difficult to be parallelized for large-scale problems. Nowadays, researches focus on efficiently parallelizing SGD. In this research, we propose...
With the increasing ubiquity of mobile devices with computational capabilities comparable to many personal computers, they became the dominant personal computing devices nowadays. However, mobile devices still suffer short battery life and many of them are not capable of running rich-media, data-intensive and compute-intensive applications. Offloading to the cloud is a promising solution, however,...
Data Security is the most important issue nowadays. A lot of cryptosystems are introduced to provide security. Public key cryptosystems are the most common cryptosystems used for securing data communication. Modular multiplication is the basic operation of common public key cryptosystems such as RSA, Diffie-Hellman key agreement (DH), ElGamal and ECC. Much research is now directed to reduce overall...
With the increasing ubiquity of mobile devices with computational capabilities comparable to many personal computers, while at the same time, wireless connectivity is almost available everywhere, researchers started to explore how to make use of that huge amount of potential aggregated computing resources. However, mobile devices still suffer short battery life, especially with their newly large screens...
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