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...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs: Luca Barbieri, Stefano Savazzi, Monica Nicoli
Formaat: Artikel
Taal:English
Gepubliceerd in: IEEE 2023-01-01
Reeks:IEEE Access
Onderwerpen:
Machine learning over networks
federated learning
consensus
sidelink communications
beyond 5G
Online toegang:https://ieeexplore.ieee.org/document/10057415/

Internet

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

Gelijkaardige items