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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 [Internet]. 2025 Nov. 15 [cited 2026 Apr. 6];7(2):144-58. Available from: https://journal.uinjkt.ac.id/inprime/article/view/45035