Resilient distributed machine learning using network reconfiguration

Machine learning (ML) is currently making great impact in our today's life. However computations may become excessively huge on big data scenarios, so recently distributed models have become an interesting field of study. This thesis presents a reconfiguration strategy over a network of distrib...