Federated Learning at the Edge: Enhancing Privacy and Efficiency in Distributed AI Systems
<p id="p1">The growth of data from edge devices has increased the demand for distributed machine learning frameworks that protect privacy while remaining scalable. Federated learning (FL) enables decentralised model training without sharing raw data. This chapter examines FL in edge computing, focus...
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| Main Authors: | , , , , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2025
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| Subjects: | |
| Online Access: | https://www.intechopen.com/chapters/1230198 |
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