Federated learning - Wikipedia
Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients) collaboratively train a model while keeping …
Federated learning: what it is and how it works | Google Cloud
What is federated learning? Federated learning (FL) is a machine learning approach that enables the training of a shared AI model using data from numerous decentralized edge devices or …
What is federated learning? - IBM
Federated learning is a decentralized approach to training machine learning (ML) models. Each node across a distributed network trains a global model using its local data, with a central …
What Is Federated Learning? A Guide to Privacy-Preserving AI
Federated learning is a distributed method for training machine learning models in which multiple devices or organizations collaboratively learn a shared model without transferring their raw data.
What is Federated Learning? - GeeksforGeeks
Jul 23, 2025 · Federated Learning is a technique of training machine learning models on decentralized data, where the data is distributed across multiple devices or nodes, such as …
Federated Learning: Definition, Types, Use Cases - phoenixNAP
Mar 20, 2025 · Federated learning is a decentralized approach to training AI models. Instead of collecting data in one central location, it allows multiple devices or servers to train a shared …
A Comprehensive Guide to Federated Learning - The Couchbase …
May 23, 2025 · Federated learning is a machine learning (ML) approach that enables multiple devices or systems to train a shared model collaboratively without exchanging raw data.
Introduction to Federated Learning | Springer Nature Link …
Jan 2, 2026 · This chapter introduces the foundations and motivations of federated learning (FL), a distributed machine learning approach that enables model training directly on devices where …
Federated Learning: 5 Use Cases & Real Life Examples - AIMultiple
Nov 11, 2025 · Federated learning is a decentralized machine learning approach that allows multiple organizations or devices to train machine learning models collaboratively without …
Federated learning: Overview, strategies, applications, tools and ...
Oct 15, 2024 · Federated learning (FL) is a distributed machine learning process, which allows multiple nodes to work together to train a shared model without exchanging raw data.