Know Your Data to Harness Federated Machine Learning
Federated learning can help organizations that lack enough of their own high-quality data to improve their AI models while preserving the privacy of their proprietary data. It does so by sending an algorithm to each partner’s data source rather than requiring them to share their data. They authors suggest strategies for finding suitable partners for federated learning based on the type and quality of the organizations’ data.