Summary - F.748.62 (12/2025) - Technical framework and requirements for device-edge-cloud collaborative federated machine learning

Federated machine learning (FML) allows collaborative model training via parameter exchange, ensuring privacy and compliance. A device–edge–cloud framework, with edge servers as intermediaries, enhances accuracy, resource balance and scalability, requiring standardized protocols plus strategies for resource use, privacy and aggregation. Recommendation ITU-T F.748.62 introduces the framework and requirements for device-edge-cloud collaborative FML, and specifies its concept, procedure, requirements and use cases.