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

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 $\sim 72\%$ training time is saved through global-local coordinated learning.

This article is accepted for publication in 29th Opto-Electronics and Communications Conference 2024 (OECC2024). Copyright @ IEEE