A Layer Selection Optimizer for Communication-Efficient Decentralized Federated Deep Learning

A Layer Selection Optimizer for Communication-Efficient Decentralized Federated Deep Learning

Federated Learning (FL) systems orchestrate the cooperative training of a shared Machine Learning (ML) model across connected devices. Recently, decentralized FL architectures driven by consensus have been proposed to enable the devices to share and aggregate the ML model parameters via direct sidel...

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Bibliographic Details
Main Authors: Luca Barbieri, Stefano Savazzi, Monica Nicoli
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Machine learning over networks
federated learning
consensus
sidelink communications
beyond 5G
Online Access:https://ieeexplore.ieee.org/document/10057415/

Internet

https://ieeexplore.ieee.org/document/10057415/

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