A Scalable and Privacy-Enhanced Federated Learning Framework With Adaptive Trade-Offs Between Communication Efficiency, Privacy Guarantees, and Model Performance in Non-IID Environments. InPrime:Ind.Jour.Pure.Applied.Math 2025, 7 (2), 144-158. https://doi.org/10.15408/frxdzc84.