Intro to Federated Learning

Join Federated Learning! In this two-part course series, you will use Flower, a popular open source framework, to build a federated learning system, and learn about federated fine-tuning of LLMs with private data in part two. Federated learning allows models to be trained across multiple devices or organizations without sharing data, improving privacy and security. Federated learning also has many practical uses, such as training next-word prediction models on mobile keyboards without transmitting sensitive keystrokes onto a central server. First, you’ll learn about the federated training pr…