Scalable Coordinated Learning for H2M/R Applications over Optical Access Networks (Invited)
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Abstract (arXiv)
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 ~72% training time is saved through global-local coordinated learning.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 9 references that are in the map. First posted on arXiv 27 Feb 2025.
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References · 1
- 2019Towards Federated Learning at Scale: System Designcited by 832
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