Distributed representations of atoms and materials for machine learning
Sign Up to like & getrecommendations! Published in 2022 at "npj Computational Materials"
DOI: 10.1038/s41524-022-00729-3
Abstract: The use of machine learning is becoming increasingly common in computational materials science. To build effective models of the chemistry of materials, useful machine-based representations of atoms and their compounds are required. We derive distributed… read more here.
Keywords: machine learning; distributed representations; representations atoms; learning distributed ... See more keywords
Federated Learning: A Distributed Shared Machine Learning Method
Sign Up to like & getrecommendations! Published in 2021 at "Complexity"
DOI: 10.1155/2021/8261663
Abstract: Federated learning (FL) is a distributed machine learning (ML) framework. In FL, multiple clients collaborate to solve traditional distributed ML problems under the coordination of the central server without sharing their local private data with… read more here.
Keywords: learning distributed; machine learning; learning; federated learning ... See more keywords