Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations

Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations

This work proposes novel synchronous, asynchronous, and session-based designs for energy-efficient massive multiple-input multiple-output networks to support federated learning (FL). The synchronous design relies on strict synchronization among users when executing each FL communication round, while...

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Bibliographic Details
Main Authors: Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Duy Trong Ngo, Erik G. Larsson, Tho Le-Ngoc
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Asynchronous transmission
energy efficiency
federated learning
massive MIMO
session-based transmission
synchronous transmission
Online Access:https://ieeexplore.ieee.org/document/9953187/

Internet

https://ieeexplore.ieee.org/document/9953187/

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