A Review of Federated Learning in Agriculture

A Review of Federated Learning in Agriculture

Federated learning (FL), with the aim of training machine learning models using data and computational resources on edge devices without sharing raw local data, is essential for improving agricultural management and smart agriculture. This study is a review of FL applications that address various ag...

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Bibliographic Details
Main Authors: Krista Rizman Žalik, Mitja Žalik
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
federated learning
agriculture
architecture
data partitioning
federation scale
aggregation algorithms
Online Access:https://www.mdpi.com/1424-8220/23/23/9566

Internet

https://www.mdpi.com/1424-8220/23/23/9566

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