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, ...
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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