More security for 'machine learning' technology in the cloud
A project in which MIT scientists work could provide more efficient security in machine learning in the cloud and also involves a promising approach to the use of cloud-based neural networks for the analysis of medical images and other applications They use critical data. It is a system that combines two conventional techniques (homomorphic encryption and distorted circuits) so that it helps networks execute orders of magnitude faster than they do with conventional approaches. As they explain from MIT, cloud administrator outsourcing machine learning is an upward trend in the industry. “The main technology companies have launched cloud platforms that perform complicated computing tasks, such as running data through a convolutional neural network (CNN) for image classification. Small businesses with limited resources and other users can upload data to those services in exchange for a fee and get the results in several hours, ”they say. However, what happens if private data leaks