HIGHLIGHTS
- who: -Collective intelligence and collaborators from the (UNIVERSITY) have published the research: Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness, in the Journal: (JOURNAL)
- what: The authors demonstrate the technical fundamentals of DDL that benefit many walks of society through decentralized learning. The authors demonstrate the most relevant methodologies used to spread and reduce the amount of data exchanged between the server and clients tackling the edge heterogeneity problem . The aim of this approach is to achieve the desired model performance within the fewest rounds. The experiments show . . .
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