What is Federated Learning?

Skill Level:

Federated Learning is a privacy-preserving technique where AI models are trained across multiple decentralised devices or systems without sharing raw data. Instead, only aggregated model updates are exchanged, ensuring data privacy and security. Federated Learning enables businesses to harness the collective intelligence of distributed devices while maintaining data confidentiality.

Other Definitions

Natural Language Generation is an AI technique that converts structured data into human-like text. NLG systems use Machine Learning algorithms to understand the data…
Forecasting involves predicting future outcomes or trends based on historical data and patterns. By analysing past data and applying statistical techniques, businesses can make…
Adversarial machine learning involves studying and defending AI models against attacks or adversarial examples designed to deceive the system. By understanding vulnerabilities and deploying…
Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…