2024
DOI: 10.37394/23205.2024.23.10
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Federated Learning: Attacks and Defenses, Rewards, Energy Efficiency: Past, Present and Future

Dimitris Karydas,
Helen C. Leligou

Abstract: Federated Learning (FL) was first introduced as an idea by Google in 2016, in which multiple devices jointly train a machine learning model without sharing their data under the supervision of a central server. This offers big opportunities in critical areas like healthcare, industry, and finance, where sharing information with other organizations’ devices is completely prohibited. The combination of Federated Learning with Blockchain technology has led to the so-called Blockchain Federated learning (B.F.L.) wh… Show more

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