AI RESEARCH
Equitable Multi-Task Learning for AI-RANs
arXiv CS.LG
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ArXi:2603.08717v1 Announce Type: new AI-enabled Radio Access Networks (AI-RANs) are expected to serve heterogeneous users with time-varying learning tasks over shared edge resources. Ensuring equitable inference performance across these users requires adaptive and fair learning mechanisms. This paper