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CONTRACT: Conformal Calibration for Reliable AI-Based Wireless Communications

CORDIS · observation · Publication date unknown

CONTRACT: Conformal Calibration for Reliable AI-Based Wireless Communications CONTRACT sets out to investigate a novel, theoretically principled, framework for the reliable deployment of artificial intelligence (AI)-based black-box models in wireless systems. Given the highly non-deterministic patterns of traffic and connectivity conditions, AI is currently viewed as an essential technology to ensure the support of communication services with widely heterogeneous performance requirements, ranging from cloud gaming to Industry 4.0. However, AI ``apps'' are, by and large, black boxes, whose introduction within the larger wireless network raises critical concerns about reliability. These concerns are not addressed by the vast literature on AI for wireless systems, which adopts a standard ``train-and-deploy'' best-effort approach. The main goal of CONTRACT is to endow for the first time AI-based wireless deployments with formal reliability guarantees. To this end, CONTRACT will introduce novel methodologies for: (i) the offline calibration of pre-trained AI apps via hyperpar

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recordType

award

status

SIGNED

region

EU

value

2489890

unit

EUR