3 accepted papers
Federated learning (FL) has been developed as a promising framework to leverage the resources of edge devices, enhance customers’ privacy, comply with regulations, and reduce development costs. Although many methods and applications have been developed for FL, several critical challenges for practic…
In this paper, the problem of compressive imaging is addressed using natural randomization by means of a multiply scattering medium. To utilize the medium in this way, its corresponding transmission matrix must be estimated. For calibration purposes, we use a digital micromirror device (DMD) as a si…
Restricted Boltzmann machines are undirected neural networks which have been shown tobe effective in many applications, including serving as initializations fortraining deep multi-layer neural networks. One of the main reasons for their success is theexistence of efficient and practical stochastic a…