GLEAM

GLEAM develops a modular, energy-efficient, and privacy-preserving AI framework for healthcare. Tackling both the environmental impact of AI computing and strict data privacy regulations, it combines green AI and privacy-by-design principles to enable compliant collaboration across institutions while maintaining full data sovereignty. The architecture brings together lightweight AI models, Federated Learning and Synthetic Data Generation, supported by hardware-aware optimisation, dynamic workload scheduling and advanced encryption. Built on standards, GLEAM integrates seamlessly into clinical workflows. The project will validate its sustainability, interoperability, and clinical performance through multinational pilots.