Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: The distributed nature and dynamic topology of Wireless Sensor Networks (WSNs) introduces very special requirements in routing protocols that should be met. The most important feature of a ...
In 2020, we introduced FHE to Linux with our FHE Toolkit. In 2021, we made the next evolution of the FHE Toolkit called IBM HElayers, a software development kit (SDK) for the practical and efficient ...
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