Decentralised and Sustainable AI Processing
Funds two €17.5M research projects that spread AI processing across sustainable, secure edge, cloud and HPC resources.
Decentralised and Sustainable AI Processing is a European Commission call that funds two €17.5M research projects spreading AI processing across sustainable, secure edge, cloud and high-performance-computing resources. Centralised AI infrastructure is running into limits in energy, compute capacity, chip availability, data quality, security and latency. This topic funds research into a different m…
A Research and Innovation Action for decentralised, federated and sustainable AI data processing across the cloud-to-edge compute continuum. Projects can develop distributed architectures beyond federated learning, workflows across heterogeneous infrastructure, model compression, data-quality and consistency tools, privacy-preserving distributed management, post-quantum protection, and end-to-end energy and sustainability monitoring. Each proposal must demonstrate its approach in at least two complementary real-world use cases in different domains, starting at TRL 3 and reaching TRL 6-7.
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Guides for this application
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Start hereTRL Levels Explained for Deeptech Founders
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