Scalable Coordinated Learning for H2M/R Applications over Optical Access Networks (Invited)

One of the primary research interests adhering to next-generation fiber-wireless access networks is human-to-machine/robot (H2M/R) collaborative communications facilitating Industry 5.0. This paper discusses scalable H2M/R communications across large geographical distances that also allow rapid onboarding of new machines/robots as $\sim72\%$ training time is saved through global-local coordinated learning.

Publication Details

Journal
ArXiv.org
Published
2025-02-27
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
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article

Scalable Coordinated Learning for H2M/R Applications over Optical Access Networks (Invited)

ArXiv.org
Optical Wireless Communication Technologies
article

Scalable Coordinated Learning for H2M/R Applications over Optical Access Networks (Invited)

article en

Abstract

One of the primary research interests adhering to next-generation fiber-wireless access networks is human-to-machine/robot (H2M/R) collaborative communications facilitating Industry 5.0. This paper discusses scalable H2M/R communications across large geographical distances that also allow rapid onboarding of new machines/robots as $\sim72\%$ training time is saved through global-local coordinated learning.

ArXiv.org
Industry, innovation and infrastructure
Openalex Percentile: Top 53%
Optical Wireless Communication Technologies
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