Paper published in EURO Journal on Computational Optimization

A paper titled “Communication-efficient ADMM using quantization-aware Gaussian process regression” has been published in the journal EURO Journal on Computational Optimization. The paper develops quantization methods and quantization-aware Gaussian process regression for substantially reducing the communication cost of distributed optimization algorithms such as ADMM. This is a result of our continuing collaboration with the group of Dr. Shuangqing Wei at Louisiana State University and is funded by our NSF EPCN grant.