Empowering Large Language Models with Common European Data Spaces

The convergence of data space architectures with AI training requirements opens new possibilities for collaborative AI development. This paradigm shift from centralized data aggregation to sovereign data spaces enables AI development patterns previously infeasible due to privacy, regulatory, or competitive constraints. The Eclipse Dataspace Connector (EDC), built on the specifications of the International Data Spaces Association (IDSA) and GAIA-X Trust Framework, provides a foundation for implementing DataSpaces that enable cross-organisational, trustworthy data sharing while maintaining data sovereignty and compliance with European regulatory frameworks like GDPR and emerging data governance regulations. DS2's capabilities in streaming diverse data sources with policy enforcement directly address these concerns, enabling more practical federated learning deployments across organizational and jurisdictional boundaries.