Control perspective on distributed optimization
Detta är en Kandidat-uppsats från Uppsala universitet/Sannolikhetsteori och kombinatorik
Sammanfattning: In the intersection between machine learning, artificial intelligence and mathe- matical computation lies optimization. A powerful tool that enables us to solve a variety of large scale problems. The purpose of this work is to explore optimiza- tion in the distributed setting. We will then touch on factors that contribute to a faster and more stable algorithm while solving a distributed optimization problem. The main factor we will look into is how we can integrate control.
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