Communication-Efficient Quantum Algorithm for Distributed Machine Learning
Communication-Efficient Quantum Algorithm for Distributed Machine Learning
The growing demands of remote detection and an increasing amount of training data make distributed machine learning under communication constraints a critical issue. This work provides a communication-efficient quantum algorithm that tackles two traditional machine learning problems, the least-square fitting and softmax regression problems, in the scenario where the dataset …