[1]
Teraiya, M. and Shukla, M. 2026. Privacy-Utility-Efficiency Trade-Offs in Personalized Federated Learning for Edge Computing: Clipping-Pressure Diagnostics and Pareto Operating Points for Privacy-Preserving Edge Learning. Engineering, Technology & Applied Science Research. 16, 2 (Apr. 2026), 33434–33442. DOI:https://doi.org/10.48084/etasr.17222.