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cs.LG2026
The Capability Manifold and ML Scaling Laws
Syed Ali Raza Zaidi, Maryam Hafeez
Existing machine learning (ML) scaling laws relate predictive loss to compute, model parameters, and data. However, as models are increasingly deployed through agentic harnesses, l…
cs.LG2026
Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction
Aubida A. Al-Hameed, Mohammed M. H. Qazzaz, Maryam Hafeez +1
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…