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Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems

Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2477097903

Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems

About this item

Full title

Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-01

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Next-generation autonomous and networked industrial systems (i.e., robots, vehicles, drones) have driven advances in ultra-reliable, low latency communications (URLLC) and computing. These networked multi-agent systems require fast, communication-efficient and distributed machine learning (ML) to provide mission critical control functionalities. Di...

Alternative Titles

Full title

Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2477097903

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2477097903

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2101.03367

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