Issues in federated learning: some experiments and preliminary results

Abstract The growing need for data privacy and security in machine learning has led to exploring novel approaches like federated learning (FL) that allow collaborative training on distributed datasets, offering a decentralized alternative to traditional data collection methods. A prime benefit of FL...

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Bibliographic Details
Main Authors: Jamsher Bhanbhro, Simona Nisticò, Luigi Palopoli
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-81732-0