Decentralized Machine Learning Information

Decentralized Machine Learning (DML) is an infrastructure facilitated for on-device machine learning. It decentralizes the three integral elements in machine learning—data, processing power, and algorithms. Without extracting private data and inherently protecting data owners’ privacy, DML unleashes the untapped data usage in individual devices such as smartphones, tablets, PC, and IoT sensors for various business intelligence, market insights, and sentiment predictions consumed by different companies and organizations.