Early-exit framework for wireless FMs attaches per-task heads to a frozen encoder, achieving up to 93% fewer FLOPs and superior OOD performance via fixed per-task exits rather than dynamic routing.
arXiv (2025) 2502.11965
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A pretrained wireless foundation model claims to unify zero-shot channel reconstruction and few-shot adaptation across 9 CSI tasks, outperforming task-specific supervised baselines.
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Fast Wireless Foundation Models with Early-Exits
Early-exit framework for wireless FMs attaches per-task heads to a frozen encoder, achieving up to 93% fewer FLOPs and superior OOD performance via fixed per-task exits rather than dynamic routing.
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WiFo-2: a generalist foundation model unifies heterogeneous wireless system design
A pretrained wireless foundation model claims to unify zero-shot channel reconstruction and few-shot adaptation across 9 CSI tasks, outperforming task-specific supervised baselines.