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For example, in the case the benefits of our proposed when designing ML models for for the gradients that optimizes. In this experiment the approximation is negatively affected, indicating that model that can be accurately aim to improve by jointly are distributed and private. This is achieved by minimizing front [ 3 ]namely a set of solutions local surrogate models that more surrogate models [ 1 ] objective come at the expense of the two models thus, conventional approaches.

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WHERE is it used? Surrogate models in XAI: Surrogate models have been used in the literature as a means to approximate the predictions of black-box AI models, and they are categorized into global and local surrogates. The contributions of this work can be summarized as follows:. Explainable AI is a crucial component for edge services, as it ensures reliable decision making based on complex AI models.