# Scalable Federated Learning over Passive Optical Networks

arXiv: https://arxiv.org/abs/2010.15454 · HTML: https://mlsanity.com/paper/2010.15454/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Oct 2020.

## Built on by (most cited first, 1 of 1)

- [FedNET: Federated Learning for Proactive Traffic Management and Network Capacity Planning](https://mlsanity.com/paper/2511.06797/) (2025)

## Abstract (arXiv)

Two-step aggregation is introduced to facilitate scalable federated learning (SFL) over passive optical networks (PONs). Results reveal that the SFL keeps the required PON upstream bandwidth constant regardless of the number of involved clients, while bringing ~10% learning accuracy improvement.
