AI RESEARCH
Tackling Non-IIDness in HAPS-Aided Federated Learning
arXiv CS.LG
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ArXi:2401.05308v4 Announce Type: replace-cross High-altitude platform stations (HAPS) enable large-scale federated learning (FL) in non-terrestrial networks (NTN) by providing wide-area coverage and predominantly line-of-sight (LoS) connectivity to many ground users. However, practical deployments face heterogeneous and non-independently and identically distributed (non-IID) client data, which degrades accuracy and slows convergence.