Collaborative Learning Without Data Sharing: A Federated Learning Approach
Manish Kumar Saraf* and Geetika Saraf^ Most of the people think that the machine learning requires heavy CPUs, GPUs, cloud. What about the small device such as iPhone, Android phone, tablet, raspberry pi, square, Movidius, etc. Can we run machine learning in the smart devices and edges? In this article, I discussed various option to use the small device for machine learning purpose. You will get to know what is a distributed machine learning? How is federated learning useful for you to maintain the privacy in a connected world? Data-sharing in healthcare We need a large amount of high-quality data for building a machine learning (deep learning) model. Healthcare generates a huge amount of data every day. A recent study reported that the digital data may reach up to 44 zettabytes by 2020, which is almost double every year. If the data size is increasing every year then why we are not able to build a good machine learning model. The answer is the lack of high-quality specifi