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Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness [article]

Yuwei Sun, Hideya Ochiai, Hiroshi Esaki
2021 arXiv   pre-print
Decentralized deep learning (DDL) such as federated learning and swarm learning as a promising solution to privacy-preserving data processing for millions of smart edge devices, leverages distributed computing  ...  and trustworthiness.  ...  Available: Processing - 19th International Conference, ICA3PP 2019, Melbourne, http://proceedings.mlr.press/v54/mcmahan17a.html VIC, Australia, December  ... 
arXiv:2108.03980v4 fatcat:3chrjozkxrdzljthkjzlagg6uy