The goal is to design a large scale optimization algorithm for machine learning tasks that can run on decentralized compute environments (such as peer-to-peer systems). Requires ability to program and ...
Interior point methods have revolutionised the field of optimisation over the past few decades, offering robust and efficient alternatives to traditional simplex and iterative algorithms. These ...
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