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AuthorHamdi, Rami
AuthorChen, Mingzhe
AuthorBen Said, Ahmed
AuthorQaraqe, Marwa
AuthorPoor, H. Vincent
Available date2023-10-08T08:41:46Z
Publication Date2021
Publication Name2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
ResourceScopus
URIhttp://dx.doi.org/10.1109/GLOBECOM46510.2021.9685801
URIhttp://hdl.handle.net/10576/48316
AbstractIn this paper, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base station (BS) is equipped with a massive multiple-input multiple-output (MIMO) system and a set of users powered by independent energy harvesting sources to cooperatively perform FL. Since a certain number of users may not be served due to interference and energy constraints, a joint energy management and user scheduling problem is considered. This problem is formulated as an optimization problem whose goal is to minimize the FL training loss via optimizing user scheduling. To determine the effect of various wireless factors (transmit power and number of scheduled users) on training loss, the convergence rate of the FL algorithm is analyzed. Given this analytical result, the original user scheduling and energy management optimization problem can be decomposed, simplified and solved. Simulation results show that the proposed algorithm can reduce training loss compared to a standard FL algorithm.
SponsorACKNOWLEDGMENT This research was sponsored in part by the TÜBiTAK-QNRF Joint Funding Program grant (AICC03-0324-200005) from the Scientific and Technological Research Council of Turkey and Qatar National Research Fund (QNRF) and in part by the U.S. National Science Foundation under Grant CCF-1908308. The findings achieved herein are solely the responsibility of the authors.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectenergy harvesting
Federated learning
resource allocation
TitleUser Scheduling in Federated Learning over Energy Harvesting Wireless Networks
TypeConference Paper
dc.accessType Abstract Only


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