Modelling for efficient resource allocation and/or distribution in secure computation and communication for differential privacy protocols and/or algorithms is provided. A method for allocating a resource of a differentially private system in secure computation and communication includes aggregating attributes from a usage log of the differentially private system for a predetermined period of time, generating a moving aggregation based on the aggregated attributes, training a machine learning model based on the aggregated attributes and the moving aggregation, predicting a distribution of the resource using the trained machine learning model, and allocating the resource based on the predicted distribution. The resource includes a differential privacy parameter.