Federated Learning

Federated learning is a machine learning technique that enables multiple actors to collaborate on model training while maintaining the data private, by only sharing model updates rather than the data itself. This approach is particularly relevant to the tech community as it addresses growing concerns around data privacy and security, allowing organizations to develop more accurate AI models without compromising sensitive information.