“Three emerging areas within AI that are poised to redefine the field—and society—in the years ahead. Unsupervised Learning – is an approach to AI in which algorithms learn from data without human-provided labels or guidance. Federated Learning – Rather than requiring one unified dataset to train a model, federated learning leaves the data where it…
Tag: Federated Learning
Federated Learning = Data Access + Privacy
“Federated Learning – Currently, data silos and privacy protection are two big challenges for AI. As an encrypted distributed machine learning framework, FL can tackle both problems by allowing different parties to build models collaboratively without the need to reveal their data. The method helps to advance AI modeling while protecting data and privacy. Direct…