Theses
Datacenters Distributed matrix multiplication is a fundamental requirement for distributed machine learning and other important tasks, which requires privacy-aware communication schemes. Secure Communications [...] project. Distributed Machine Learning Methods under Privacy Constraints Machine learning methods require high computing power, which is not always available. Therefore, the computations can be distributed [...] Images with Neural Networks for Realistic Image Generation Realistic image transmission does not require losslessly reconstructing each pixel value of an image, which enables communication engineers to …