Abstract: In a large-scale distributed machine learning system, coded computing has attracted wide-spread attention since it can effectively alleviate the impact of stragglers. However, several ...

These advancements allow for the concurrent utilization of many computing devices ... team of researchers from Google DeepMind has proposed a modular machine learning ML framework. The DIstributed ...

Abstract: Emerging In-Network Computing (INC) technique provides a new opportunity ... One typical application is Distributed Machine Learning (DML), which accelerates machine learning training by ...

and machine learning (ML) are disrupting every industry. Their impacts and integrations will only continue to grow. And ultimately, the future of AI is in distributed computing, Ion Stoica ...

“Lots of these machine learning protocols require technology that is getting there, but is not available yet,” said Diamanti. Researchers think of quantum computing not as a ... back and forth over ...

Persistence diagrams are an increasingly useful shape descriptor from Topological Data Analysis. One of their more popular uses to date has been as features for machine learning tasks ... types of ...