DISCO-DHRIVE is developing a privacy-preserving collaborative learning platform using AI. It allows the building of AI models across different locations without the need to share sensitive data. Tailored to meet ICRC’s unique challenges, including resource scarcity and stringent data confidentiality, the project integrates federated and distributed learning. This approach enables the extraction of valuable insights from sensitive data without compromising their security.
DISCO-DHRIVE: Distributed Collaborative Learning for Data-driven Humanitarian Response in Insecure and Volatile Environments
Date | 01/07/2023 - 30/06/2025 |
Type | Machine Learning, Government & Humanitarian |
Partner | ICRC |
Partner contact | Fabrice Lauper, Dr. Javier Elkin |
EPFL Laboratory | Machine Learning and Optimization Laboratory (MLO) |