arXiv cs.LG
· Papers
Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction
arXiv:2607.21665v1 Announce Type: new Abstract: Proactive service assurance in O-RAN requires predicting per-slice SLA violations before they occur. The prediction model must be auditable by operators and must train across base stations without pooling per-slice KPIs, which are commercially sensitive because slices are