federated learning

{
  "id": "MLC-T-CYB-001710",
  "term": "federated learning",
  "field": "Cybersecurity",
  "definition": "A type of machine learning in which a model is trained in a decentralized fashion using multiple data sources without pooling or combining the data in any centralized location. Federated learning allows entities or devices to collaboratively train a global model by exchanging model updates without directly sharing the data that each entity controls.",
  "references": [
    "NIST AI 100-2e2025",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/federated-learning/"
}