← all papers · overview

Scalable Federated Learning over Passive Optical Networks

Abstract

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.

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).