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This Cluster 4 topic targets one of the harder open problems in applied AI infrastructure: how to train and run AI on data that cannot or should not be centralised.
The framing covers decentralized, federated and sustainable AI data processing, which brings together three research communities that usually publish separately - federated and distributed learning, edge and in-network computation, and the energy-efficiency work that has become unavoidable as model sizes grow.
The sustainability strand is not decorative; the European Commission has been consistent across the 2026-2027 work programme in requiring energy and resource considerations to be treated as first-order design constraints rather than a reporting annex, and proposals that treat efficiency as an afterthought tend to score poorly on impact.
The topic carries an indicative budget of EUR 35 million and is a Research and Innovation Action, meaning consortium-based collaborative research with a technology-readiness trajectory rather than single-institution fundamental work.
The timing is favourable for teams building now: the call opens 17 November 2026 with a deadline of 18 March 2027, giving roughly four months of drafting time from opening and considerably longer for consortium assembly if work starts in 2026.
Standard Horizon Europe consortium rules apply, requiring at least three independent legal entities from three different EU Member States or Associated Countries, with at least one from a Member State.
US and other non-associated third-country entities cannot draw EU funding under most Cluster 4 topics but can join a consortium as Associated Partners bearing their own costs - a route worth considering for American groups with strong federated-learning credentials.
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Or search similar grants →According to the current listing, eligibility includes: Standard Horizon Europe Research and Innovation Action eligibility applies: consortia must include at least three independent legal entities from three different EU Member States or Horizon Europe Associated Countries, with at least one established in a Member State. Eligible participants include universities, research organisations, companies of all sizes including SMEs, public bodies and non-profits. Entities from non-associated third countries, including the United States, are generally not eligible for direct EU funding under Cluster 4 topics but may participate as Associated Partners covering their own costs. The call opens 17 November 2026 and closes 18 March 2027. Proposals must be submitted through the EU Funding and Tenders Portal. Applicants should verify the indicative EU contribution per project, expected number of grants and full topic conditions against the official topic page before preparing a budget. Confirm the full requirements in the official notice before applying.
The current listing shows the indicative topic budget is EUR 35,000,000 (approximately USD 40,950,000). This is the total envelope for the topic across all projects funded under it; the European Commission had not published an indicative EU contribution per project or an expected number of grants in the material available at time of writing. Horizon Europe Research and Innovation Actions of this size typically fund individual projects in the EUR 5 to 10 million range, but applicants must confirm the per-project figure against the official topic conditions on the EU Funding and Tenders Portal before budgeting. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Horizon Europe HORIZON-CL4-2027-04-DATA-03 New Approaches for Decentralized, Federated and Sustainable AI Data Processing are due March 18, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Horizon Europe HORIZON-CL4-2027-04-DATA-03 New Approaches for Decentralized, Federated and Sustainable AI Data Processing is funded by European Commission (Horizon Europe Cluster 4 - Digital, Industry and Space). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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