PHENOMENA AND PROCESSES Mathematical Concepts [G17] Mathematical Concepts Algorithms [G17.035] Algorithms Artificial Intelligence [G17.035.250] Artificial Intelligence Machine Learning [G17.035.250.500] Machine Learning Deep Learning [G17.035.250.500.250] Deep Learning Dimensionality Reduction [G17.035.250.500.375] Dimensionality Reduction Ensemble Learning [G17.035.250.500.438] Ensemble Learning Federated Learning [G17.035.250.500.469] Federated Learning Reinforcement Machine Learning [G17.035.250.500.485] Reinforcement Machine Learning Representation Machine Learning [G17.035.250.500.493] Representation Machine Learning Supervised Machine Learning [G17.035.250.500.500] Supervised Machine Learning Transfer Machine Learning [G17.035.250.500.625] Transfer Machine Learning Unsupervised Machine Learning [G17.035.250.500.750] Unsupervised Machine Learning INFORMATION SCIENCE Information Science [L01] Information Science Computing Methodologies [L01.224] Computing Methodologies Algorithms [L01.224.050] Algorithms Artificial Intelligence [L01.224.050.375] Artificial Intelligence Machine Learning [L01.224.050.375.530] Machine Learning Deep Learning [L01.224.050.375.530.250] Deep Learning Dimensionality Reduction [L01.224.050.375.530.375] Dimensionality Reduction Ensemble Learning [L01.224.050.375.530.438] Ensemble Learning Federated Learning [L01.224.050.375.530.469] Federated Learning Reinforcement Machine Learning [L01.224.050.375.530.485] Reinforcement Machine Learning Representation Machine Learning [L01.224.050.375.530.493] Representation Machine Learning Supervised Machine Learning [L01.224.050.375.530.500] Supervised Machine Learning Transfer Machine Learning [L01.224.050.375.530.625] Transfer Machine Learning Unsupervised Machine Learning [L01.224.050.375.530.750] Unsupervised Machine Learning

Federated Learning - Preferred

Concept UI	M000766617
Scope note	A method of training machine learning models whereby multiple devices train their own copy of the artificial intelligence model using decentralized local data. These locally trained model results are then aggregated by a central server to update the global model without accessing local data.
Preferred term	Federated Learning
Entry term(s)	Federated Learning, Machine Federated Learnings Federated Machine Learning Federated Machine Learnings Learning, Federated Machine Federated Learning Machine Federated Learnings Machine Learning, Federated