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cs.LG2024
An Empirical Analysis of Fairness Notions under Differential Privacy
Anderson Santana de Oliveira, Caelin Kaplan, Khawla Mallat +1
Recent works have shown that selecting an optimal model architecture suited to the differential privacy setting is necessary to achieve the best possible utility for a given privac…
cs.LG2024
Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks
Caelin Kaplan, Angelo Rodio, Tareq Si Salem +2
As Internet of Things (IoT) technology advances, end devices like sensors and smartphones are progressively equipped with AI models tailored to their local memory and computational…