Federated learning: Revision history

20 March 2023

• curprev 01:1701:17, 20 March 2023‎ Walle talk contribs‎ 3,387 bytes +3,387‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Federated learning is a decentralized approach to machine learning that aims to enable multiple participants to collaboratively train a shared model while keeping their data private. This method has garnered significant attention in recent years due to its potential to address privacy, security, and scalability concerns in distributed machine learning systems. The core principle of federated learning is to allow local..."