To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Abstract: Federated Learning (FL) has emerged as a key enabler of Machine Learning (ML) applications due its ability to enhance privacy, enable collaboration, improve scalability and possibly reduce ...