Federated learning in AI systems
23 November 2024
Understanding Federated Learning in AI Systems In the rapidly evolving landscape of Artificial Intelligence (AI), **federated learning** stands out as a transformative approach that addresses both data privacy concerns and the need for high-quality data. This innovative method for training AI models operates across decentralized devices, making it an essential topic for anyone interested in AI’s future impact. Let us dive into the intricacies of federated learning, exploring its various components, benefits, and implications. Introduction to Federated Learning Federated learning is an AI model training technique where algorithms are trained across multiple decentralized devices or servers holding local data samples, […]
