Scalable Federated Learning over Passive Optical Networks
2021 (English) In: 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2021Conference paper, Published paper (Refereed)
Abstract [en]
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. © 2021 OSA.
Place, publisher, year, edition, pages Institute of Electrical and Electronics Engineers Inc. , 2021.
Keywords [en]
Optical fiber communication, Optical fibers, Passive networks, Learning accuracy, Passive optical networks
National Category
Communication Systems
Identifiers URN: urn:nbn:se:ri:diva-56128 Scopus ID: 2-s2.0-85112089220 ISBN: 9781943580866 (print) OAI: oai:DiVA.org:ri-56128 DiVA, id: diva2:1590059
Conference 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021, 6 June 2021 through 11 June 2021
Note Funding details: Stiftelsen för Strategisk Forskning, SSF; Funding details: Vetenskapsrådet, VR, 2016-04489 FoundationforStrategicResearch; Funding text 1: Acknowledgment: This work is supported in part by Swedish Research Council (VR) project 2016-04489 FoundationforStrategicResearch(SSF),ChalmersICT-seedgrant, andhCalmersHCAIR-seedgrant.
2021-09-012021-09-012023-05-25 Bibliographically approved