Abstract: Split learning (SL) is a privacy-focused method for training deep learning models that prevents clients and servers from sharing raw data. There are a few downsides to supervised learning, ...
Ancient necropolises often provide clues about the lives of the dead, with grave goods helping determine what was valued by people in the past. Traditionally, however, archaeologists could only ...
Abstract: This paper develops an algorithmic solution using Ising machines to solve large-scale higher-order binary optimization (HOBO) problems with inequality constraints for resource optimization ...
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